Publication profile
Publication profile
Arnt-Børre Salberg
Name:
Arnt-Børre Salberg
Title:
Seniorforsker / Senior Research Scientist
Phone:
(+47) +47 22 85 26 51
Email:
salberg [at] nr [dot] no
Scientific areas:
Remote sensing, Machine learning, Deep learning, Image analysis, Signal processing
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Academic anthology/Conference proceedings
2009
(eds). Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings. Springer. (ISBN 3-642-02229-4). pp 779. 2009.
Non-fiction book
2009
. Image Analysis, 16th Scandinavian Conference Proceedings (SCIA), Oslo, Norway, June 2009, Springer Verlag Lecture Notes in Computer Science, LNCS 5575. : 2009.
Academic article
2023
. Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data. IEEE Journal of Oceanic Engineering (ISSN 0364-9059). doi: 10.1109/JOE.2022.3226214. 2023. Arkiv
2022
. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. International Journal of Remote Sensing (ISSN 0143-1161). 43(9) pp 3509-3535. doi: 10.1080/01431161.2022.2098078. 2022.
. Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning. International Journal of Applied Earth Observation and Geoinformation (ISSN 1569-8432). 111 pp 1-13. doi: 10.1016/j.jag.2022.102840. 2022.
. Coastal habitat mapping with UAV multi-sensor data: an experiment among DCNN-based approaches. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISSN 2194-9042). V-3-2022 pp 439-445. doi: 10.5194/isprs-annals-V-3-2022-439-2022. 2022. Arkiv
. Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation. Fishes (ISSN 2410-3888). 7(2) pp 1-16. doi: 10.3390/fishes7020071. 2022. Arkiv
. Detection of forest roads in Sentinel-2 images using U-Net. Proceedings of the Northern Lights Deep Learning Workshop. 3 doi: 10.7557/18.6246. 2022. Fulltekst
. DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images. Fishes (ISSN 2410-3888). 7(3) doi: 10.3390/fishes7030121. 2022. Arkiv
2021
. Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science (ISSN 1054-3139). 78(7) pp 2615-2627. doi: 10.1093/icesjms/fsab140. 2021. Arkiv Fulltekst
. Estimating Traffic in Urban Areas from Very-High Resolution Aerial Images. International Journal of Remote Sensing (ISSN 0143-1161). 42(3) pp 865-883. doi: 10.1080/01431161.2020.1815891. 2021. Arkiv
. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing (ISSN 0143-1161). 42(16) pp 6184-6208. doi: 10.1080/01431161.2021.1936267. 2021. Arkiv
2020
. Explaining decisions of deep neural networks used for fish age prediction. PLOS ONE (ISSN 1932-6203). 15(6) doi: 10.1371/journal.pone.0235013. 2020. Arkiv
. Dense dilated convolutions merging network for land cover classification. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 58(9) pp 6309-6320. doi: 10.1109/TGRS.2020.2976658. 2020. Arkiv Fulltekst Omtale
. Acoustic classification in multifrequency echosounder data using deep convolutional neural networks. ICES Journal of Marine Science (ISSN 1054-3139). 77(4) pp 1391-1400. doi: 10.1093/icesjms/fsz235. 2020. Arkiv
. Machine intelligence and the data-driven future of marine science. ICES Journal of Marine Science (ISSN 1054-3139). doi: 10.1093/icesjms/fsz057. 2020. Arkiv
2019
. Flood detection in Norway based on Sentinel-1 SAR imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISSN 1682-1750). XLII-3/W8 pp 349-355. doi: 10.5194/isprs-archives-XLII-3-W8-349-2019. 2019. Omtale
. Deep divergence-based approach to clustering. Neural Networks (ISSN 0893-6080). 113 pp 91-101. doi: 10.1016/j.neunet.2019.01.015. 2019. Arkiv
2018
. Urban land cover classification with missing data modalities using deep convolutional neural networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (ISSN 1939-1404). 11(6) pp 1758-1768. doi: 10.1109/JSTARS.2018.2834961. 2018. Arkiv Fulltekst
. Classification of Ocean Surface Slicks in SimulatedHybrid-Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 56(12) pp 7062-7073. doi: 10.1109/TGRS.2018.2847724. 2018. Fulltekst
. Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data. European Journal of Remote Sensing (ISSN 2279-7254). 51(1) pp 336-351. doi: 10.1080/22797254.2018.1434424. 2018. Fulltekst
. Multi-sensor forest vegetation height mapping methods for Tanzania. European Journal of Remote Sensing (ISSN 2279-7254). 51(1) pp 587-606. doi: 10.1080/22797254.2018.1461533. 2018. Fulltekst
2017
. Remote sensing of snow wetness in Romania by Sentinel-1 and Terra MODIS data. Romanian Journal of Physics (ISSN 1221-146X). 62(821) 2017. Omtale Fulltekst
. Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 10269 LNCS pp 431-442. doi: 10.1007/978-3-319-59126-1_36. 2017. Arkiv
2016
. Oil spill characterization in the hybrid-polarity SAR domain using log-cumulants. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 10004 doi: 10.1117/12.2241098. 2016.
. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.
2014
. Classification of ocean surface slicks in hybrid-polarimetric SAR data. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 9244 doi: 10.1117/12.2067474. 2014.
. Oil spill detection in hybrid-polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 52(10) pp 6521-6533. doi: 10.1109/TGRS.2013.2297193. 2014.
2013
. Fusion of satellite and aerial images for identification and modeling of nature types. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 8892 doi: 10.1117/12.2029003. 2013.
. Multisource oil spill detection. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 8892 doi: 10.1117/12.2029208. 2013.
. Automatic system for operational traffic monitoring using very-high-resolution satellite imagery. International Journal of Remote Sensing (ISSN 0143-1161). 34(13) pp 4850-4870. doi: 10.1080/01431161.2013.782708. 2013.
2012
. Model based oil spill detection using polarimetric SAR. IEEE Geoscience and Remote Sensing Letters (ISSN 1545-598X). pp 5884-5887. doi: 10.1109/IGARSS.2012.6352270. 2012.
. TEMPORAL ANALYSIS OF MULTISENSOR DATA FOR FOREST CHANGE DETECTION USING HIDDEN MARKOV MODELS. IEEE Geoscience and Remote Sensing Letters (ISSN 1545-598X). pp 6749-6752. 2012.
. Land-cover classification of partly missing data using support vector machines. International Journal of Remote Sensing (ISSN 0143-1161). 33(14) pp 4471-4481. doi: 10.1080/01431161.2011.648378. 2012.
2011
. Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 49(1) pp 377-387. doi: 10.1109/TGRS.2010.2052464. 2011.
2010
. Estimation of Pup Production of Hooded and Harp Seals in the Greenland Sea in 2007: Reducing Uncertainty Using Generalized Additive Models. Journal of Northwest Atlantic Fishery Science (ISSN 0250-6408). 42 doi: 10.2960/J.v42.m642. 2010.
2009
. Estimation of seal pup production from aerial surveys using generalized additive models. Canadian Journal of Fisheries and Aquatic Sciences (ISSN 0706-652X). 66(5) pp 847-858. doi: 10.1139/F09-040. 2009.
. Towards accurate age determination of Greenland halibut. Journal of Northwest Atlantic Fishery Science (ISSN 0250-6408). 40 pp 81-95. 2009.
2008
. Estimation of hooded seal (Cystophora cristata) pup production in the Greenland Sea pack ice during the 2005 whelping season. Polar Biology (ISSN 0722-4060). 31 pp 867-878. doi: 10.1007/s00300-008-0425-0. 2008.
2000
. Stochastic process shift keying: A novel modulation method for secure digital communications. European Signal Processing Conference (ISSN 2076-1465). (March) 2000. Fulltekst
Academic chapter/article/Conference paper
2020
. The 1st Agriculture-Vision Challenge: Methods and Results. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 212-218. doi: 10.1109/CVPRW50498.2020.00032. 2020. Arkiv Fulltekst
. Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 199-205. doi: 10.1109/CVPRW50498.2020.00030. 2020. Arkiv Omtale Fulltekst Sammendrag Data Prosjekt
. Self-Constructing Graph Convolutional Networks for Semantic Labeling. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9324719. 2020. Arkiv
. Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9323815. 2020. Arkiv
2019
. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. In: Joint Urban Remote Sensing Event, JURSE 2019. (ISBN 978-1-7281-0009-8). pp 1-4. doi: 10.1109/JURSE.2019.8809046. 2019. Omtale Fulltekst
. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. (ISBN 978-1-5386-9154-0). pp 5041-5044. doi: 10.1109/IGARSS.2019.8900082. 2019. Omtale
2018
. A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. (ISBN 978-1-5386-7150-4). pp 6943-6946. doi: 10.1109/IGARSS.2018.8518533. 2018. Omtale Fulltekst
. Semi-automatic mapping of charcoal kilns from airborne laser scanning data using deep learning. In: Oceans of data. Proceedings of the 44th Annual Conference on Computer Applications and Quantitative Methods in Archaeology. (ISBN 9781784917302). pp 219-231. 2018. Fulltekst
2017
. Deep divergence-based clustering. In: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5090-6341-3). doi: 10.1109/MLSP.2017.8168158. 2017. Fulltekst
. Urban land cover classification with missing data using deep convolutional neural networks. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). (ISBN 978-1-5090-4951-6). pp 5161-5164. doi: 10.1109/IGARSS.2017.8128164. 2017. Fulltekst
. Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. In: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. (ISBN 978-3-319-59128-5). pp 193-204. doi: 10.1007%2F978-3-319-59129-2_17. 2017.
2016
. Automatic detection and mapping of avalanches in SAR images. In: Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. (ISBN 978-1-5090-3332-4). pp 689-692. doi: 10.1109/IGARSS.2016.7729173. 2016. Fulltekst
2015
. Detection of seals in remote sensing images using features extracted from deep convolutional neural networks. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015). (ISBN 978-1-4799-7929-5). pp 1893-1896. doi: 10.1109/IGARSS.2015.7326163. 2015.
2013
. Semi-automatic detection of rainfall-triggered landslides in segmented optical satellite images. In: Proceeding of The Joint Urban Remote Sensing Event (JURSE) 2013. (ISBN 978-1-4799-0213-2). pp 254-257. doi: 10.1109/JURSE#.2013.6550713. 2013.
2012
. Model based oil spill detection using polarimetric SAR. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. (ISBN 978-1-4673-1160-1). pp 5884-5887. doi: 10.1109/IGARSS.2012.6352270. 2012.
. Operational Traffic Monitoring Using Very High Resolution Satellite Imagery. In: Proceedings of the 32nd EARSeL Symposium, Advances in Geosciences, Mykonos Island, Greece, 21 May - 24 May 2012. (ISBN 978-960-88490-3-7). pp 608-617. doi: 10.1080/01431161.2013.782708. 2012. Fulltekst
. Object-based cloud and cloud shadow detection in Landsat images for tropical forest monitoring. In: Proceedings of the 4th GEOBIA. Conference on geographic object-based image analysis. 7-9 May 2012, Rio de Janeiro, Brazil. (ISBN 978-85-17-00059-1). pp 326-331. 2012. Fulltekst
. TEMPORAL ANALYSIS OF MULTISENSOR DATA FOR FOREST CHANGE DETECTION USING HIDDEN MARKOV MODELS. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. (ISBN 978-1-4673-1160-1). pp 6749-6752. doi: 10.1109/igarss.2012.6352556. 2012. Fulltekst
2011
. Temporal analysis of forest cover using hidden Markov models. In: Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. (ISBN 978-1-4577-1005-6). pp 2322-2325. doi: 10.1109/igarss.2011.6049674. 2011. Fulltekst
. Retraining maximum likelihood classifiers using a low-rank model. In: Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. (ISBN 978-1-4577-1005-6). pp 166-169. doi: 10.1109/igarss.2011.6048958. 2011. Omtale Fulltekst
. Automatic vehicle counts from QuickBird images. In: Urban Remote Sensing Event (JURSE), 2011 Joint. (ISBN 978-1-4244-8657-1). pp 9-12. doi: 10.1109/jurse.2011.5764706. 2011. Omtale Fulltekst
. Automated extraction of traffic information from satellite imagery. In: The seventh conference on image information mining. Geospatial intelligence from earth observation. (ISBN 978-92-79-19708-6). pp 5-8. 2011. Fulltekst
2010
. DUE avalRS: Remote-Sensing Derived Avalanche Inventory Data for Decision Support and Hind-Cast after Avalanche Events. In: Proceedings of the ESA Living Planet Symposium. (ISBN 978-92-9221-250-6). 2010. Fulltekst
Academic lecture
2022
. Detection of nature interventions in Sentinel-2 images of Norway using U-Net. 41st EARSeL Symposium; Pafos, Kypros, 9/13/2022 - 9/16/2022.
. An online otolith age reader using deep neural networks: Perspectives and challenges. ICES Annual Science Conference 2022; Dublin, Irland, 9/19/2022 - 10/22/2022.
. Detection of forest roads in Sentinel-2 images using U-Net. Northern Lights Deep Learning Conference 2022; Tromsø, 1/10/2022 - 1/12/2022.
2021
. A new climate snow cover record based on ATSR-2 and AATSR. EUMETSAT 2021 Conference, 9/20/2021 - 9/24/2021.
. Development of a new 38-year time series of daily, global fractional snow cover products based on fusion of optical and passive microwave radiometer data. From Science to Operations for Copernicus Imaging Microwave Radiometer (CIMR) Mission, 5/11/2021 - 5/12/2021.
. PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021. CVPR 2021 Workshop on AGRICULTURE-VISION, 6/20/2021 - 6/21/2021. Fulltekst Omtale Sammendrag
. Deep domain adaptation applied to automatic fish age prediction. Visual Intelligence workshop on learning from limited data; Teams seminar, 2/12/2021 - 2/12/2021 1:00:00 AM.
2020
. Deteksjon av veier med Sentinel. Fjernmåling av endringer i inngrepsfri natur. Møte i faggruppe satellittdata; Hønefoss, 9/7/2020.
. MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020. CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (online), 6/14/2020 - 6/19/2020. Fulltekst Omtale Sammendrag
. MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (Online), 6/14/2020 - 6/19/2020. Prosjekt Fulltekst
. Deteksjon av veier i Sentinel-2 med U-Net. Fjernmåling av endringer i inngrepsfri natur. Fjernmålingsseminaret: presentasjon av Mdir 2020-prosjektene; Trondheim, 12/8/2020.
. Making sense of deep CNNs for image recognition applications. XAI - Explaning what goes on inside DNN/AI; Digitalt, 11/10/2020.
2019
. Landslide detection and mapping by remote sensing. International Symposium on Mitigative Measures against Snow Avalanches and Other Rapid Gravity Mass Flows, 3-5 April 2019,; Siglufjörður, 4/3/2019 - 4/5/2019.
. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019; Yokohama, 7/27/2019 - 8/2/2019. Omtale
. The COGMAR project. Norway-US Workshop on Machine Learning to Improve Science for the Sustainability of Living Ocean Resources; Bergen, 4/23/2019 - 4/25/2019.
. DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop; Tromsø, 1/8/2019 - 1/10/2019. Omtale
2018
. Urban Traffic Density Estimation for Air Pollution Modelling using Deep Neural Networks. EARSeL - 5th Joint Workshop - "Urban Remote Sensing – Challenges & Solutions"; Bochum, 9/24/2018 - 9/26/2018.
. Local and regional trends in snow cover from a 34-year time series of satellite observations. 15th International Circumpolar Remote Sensing Symposium (ICRSS); Potsdam, 9/10/2018 - 9/14/2018.
. Panel discussion: Generalization and transferability in Deep Learning. Northern Lights Deep Learning Workshop 2018; Tromsø, 1/10/2018 - 1/11/2018.
. Maskinlæring og jordobservasjon. Fjernmåling i miljøovervåking og kartlegging; Oslo, 11/30/2018.
. Experiences from 5 years of using deep learning within Earth observation. Phi-lab Seminar; ESRIN, Roma, 11/8/2018.
. AI4EO Challenges in the context of the Great Green Wall Initiative. The ESA Earth Observation Phi-week; ESRIN, Roma, 11/12/2018 - 11/16/2018.
2017
. Local and regional trends in snow cover from a 34-year time series of satellite observations. IGS International Symposium on Polar Ice, Polar Climate, Polar Change; Boulder, CO, 8/14/2017 - 8/19/2017.
. Remote sensing of snow wetness using Sentinel: a multisensor approach. IGS International Symposium on Polar Ice, Polar Climate, Polar Change; Boulder, CO, 8/14/2017 - 8/19/2017.
. Urban land cover classification with missing data using deep convolutional neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium; Fort Worth, TX, 7/23/2017 - 7/28/2017. Fulltekst
. Multi-sensor wet snow product (MWS) from Sentinel-1 and Sentinel-3 vs multi-sensor wet snow product (MWS) from Sentinel-1 and MODIS. 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing; Timisoara, 9/21/2017 - 9/24/2017.
. A multi-sensor multi-temporal approach to retrieving snow surface wetness from a combination of Sentinel-1 and Sentinel-3 data. 8th EARSeL workshop on Land Ice and Snow; Bern, 2/7/2017 - 2/9/2017.
. Earth observation big data and machine learning activities at Norsk Regnesentral. IT, big data og kunstig intelligens i JO i Norge, 12/12/2017.
. Forest tree species classification from airborne hyperspectral and laser scanning data using deep learning. 10th EARSeL SIG Imaging Spectroscopy Workshop; Zürich, 4/19/2017 - 4/21/2017.
2016
. Deep learning: machine learning meets big data. Invited lecuture at Department of Statistics at University of Oslo, 3/2/2016.
. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition Workshops; Las Vegas, 7/1/2016. Fulltekst
. Deep learning. Engineering Day, 6/3/2016.
. Traffic statistics from very high resolution satellite images. Seminar: Satellitter for bedre veidata, 4/11/2016.
. Deep learning: a powerful tool to solve your computer vision problems. Invited lecure at the Department of Informatics, University of Oslo, 9/16/2016.
. Preparing for a national service for flood monitoring using Sentinel-1. ESA Living Planet Symposium, 5/9/2016.
. Automatic detection and segmentation of avalanches in remote sensing images using deep convolutional neural networks. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop, 9/27/2016.
. Single and multi-sensor snow wetness mapping by Sentinel-1 and Sentinel-3 data. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop; Timisoara, 9/24/2016 - 9/27/2016.
. Single- and multi-sensor snow wetness mapping by Sentinel-1 and MODIS data. 73rd Eastern Snow Conference; Columbus, Ohio, 6/14/2016 - 6/16/2016.
. Oil spill characterization in the hybrid-polarity SAR domain using log-cumulants. SPIE; Edinburgh, 9/19/2016 - 9/22/2016. Arkiv
. Semi-automatic detection of charcoal kilns from airborne laser scanning data. 44th Computer Applications and Quantitative Methods in Archaeology Conference (CAA 2016); Oslo, 3/29/2016 - 4/2/2016. Sammendrag
. Semi-automatic mapping of cultural heritage from airborne laser scanning using deep learning. EGU General Assembly 2016; Wien, 4/17/2016 - 4/22/2016. Sammendrag
2015
. Advancements and validation of the global CryoClim snow cover extent product. 2nd International Satellite Snow Products Intercomparison (ISSPI) Workshop; Boulder, Colorado, 9/14/2015 - 9/16/2015.
. Advancements and validation of a global snow product fusing optical and passive microwave radiometer data. 2015 EUMETSAT Meteorological Satellite Conference,; Toulouse, 9/21/2015 - 9/25/2015.
. Global snow cover mapping using a multi-temporal multi-sensor approach. 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images; Annecy, 7/22/2015 - 7/24/2015.
2014
. Oil spill detection and classification in hybrid-polarimetric SAR images. EGEMP – Workshop on Remote sensing monitoring of marine pollution; Koblenz, 10/13/2014 - 10/14/2014.
. A new global snow cover product based on multi-sensor multi-temporal satellite data. 1st Satellite Snow Product Intercomparison and Evaluation Experiment Workshop; Maryland, 7/21/2014 - 7/23/2014.
. A new multi-sensor multi-temporal global snow cover product based on satellite data. Climate Symposium 2014; Darmstadt, 10/13/2014 - 10/17/2014.
. A multi-sensor multi-temporal algorithm for snow cover extent retrieval from optical and passive microwave data. 7th EARSeL Workshop on Land Ice and Snow; Bern, 2/3/2014 - 2/6/2014.
. Object-based multi-sensor data fusion of satellite and aerial images for modeling mountain nature. 5th Geographic Object-Based Image Analysis (GEOBIA); Thessaloniki, 5/21/2014 - 5/24/2014.
2013
. Multisensor satellite technologies for oil pollution monitoring and source identification. NOBIM 2013 konferansen; Hafjell, Norge, 2/11/2013 - 2/12/2013.
. Automatic avalanche mapping using texture classification of optical satellite imagery. 33rd EARSeL Symposium; Matera, 6/3/2013 - 6/6/2013.
2012
. Remote-Sensing Derived Avalanche Inventory Data. International Snow Science Workshop; Anchorage, Alaska USA, 9/17/2012 - 9/21/2012. Fulltekst
. Current Advances in SAR Remote Sensing of Oil Slicks and a Look-Ahead. SeaSAR2012; Tromsø, 6/18/2012 - 6/22/2012.
. Oil spill detection in compact polarimetry SAR images. SeaSAR-2012; Tromsø, 6/18/2012 - 6/22/2012.
. Experiments with remote sensing in the context of avalanche warning and detection. Advances in Avalanche Forecasting; Podbanské, 10/22/2012.
2011
. Time-series analysis of satellite images for forest cover change monitoring in Tanzania. 1st EARSeL Workshop on Operational Remote Sensing in Forest Management; Praha, 6/2/2011 - 6/3/2011.
. Time-series analysis of satellite images for forest cover change monitoring in Tanzania. Nordic Remote Sensing Days; Tromsø, 8/30/2011 - 8/31/2011.
. Bayesian model for snow retrieval from SSM/I data. Nordic Remote Sensing Days; Tromsø, 8/30/2011 - 8/31/2011.
. The CryoClim system for cryospheric climate monitoring. Nordic Remote Sensing Days, 8/30/2011 - 8/31/2011. Fulltekst
. Automatic detection of avalanches in high resolution optical satellite data. Nordic Remote Sensing Days; Tromsø, 8/30/2011 - 8/31/2011.
. Metodikk for trafikkstatistikk. Del I: Grunnleggende beregninger. Del II: Satellitter. Idédugnad \Trafikk- og transportdata\", Statens Vegvesen Vegdirektoratet"; Trondheim, 3/31/2011.
2010
. Deteksjon av gravminner fra høyoppløselige satellittbilder. Deteksjon av fangstgroper fra lidarbilder. 3. norske CAA-konferansen, Oslo, Norge, 10/18/2010. Fulltekst
. Vehicle detection and roadside tree shadow removal in high resolution satellite images. GEOBIA 2010: GEOgraphic Object Based Image Analysis, 6/29/2010 - 7/2/2010.
. Experiments on Landsat scene 227-062 in Brazil. GEO Forest carbon tracking task, science and data summit, Woods Hole, Fallmouth, MA, USA, 11-12 May, 5/11/2010. Fulltekst
. Land Cover Classification of Cloud-Contaminated Multi-Temporal High-Resolution Images. NOBIM konferansen 2010 i Tromsø, 6/21/2010.
2009
. Traffic monitoring from space for sustainable development of the road network. ISRSE'33 International Symposium on Remote Sensing of Environment, 5/4/2009 - 5/8/2009.
. Land cover classification of cloud- and snow-contaminated multi-temporal high-resolutionsatellite images. 3rd Workshop of the EARSeL SiG Remote Sensing of Land Use and Land Cover, 25 - 27 November 2009, Bon, 11/24/2009. Fulltekst
2001
. The normal inverse Gaussian distribution as a model for multi-user interference. Thirty-fifth Annual Asilomar Conf. on Signals, Systems, and Computers; Pacific Grove, CA, 11/1/2001.
2000
. Pattern Recognition by Means of Higher-Order Statistics. Conf. Norwegian Society for Image Processing and Pattern Recognition; Trondheim, 1/1/2000.
1999
. Secure digital communications by means of stochastic process shift keying. Thirty-third Asilomar Conf. Signals, Syst., Comp, 1/1/1999.
Lecture
2022
. Visual intelligence in medicine and health, marine science, industry and energy, and earth observation. Hamar Digirama; Hamar, 3/17/2022.
. Trends in deep learning. Visual intelligence days 2022; Lillestrøm, 9/28/2022 - 9/29/2022.
. Introduction to convolutional neural networks. Visual intelligence days 2022; Lillestrøm, 9/28/2022 - 9/29/2022.
. Making sense of AI models. Hamar Digirama: En kunstig intelligent helaften, 11/10/2022.
2020
. Maskinlæring og jordobservasjon. Teknologisk rammeverk - fagmøte i regi av rammeverksgruppa om Kunstig Intelligens (KI); Digitalt, 9/4/2020.
. Automatisk bildetolkning ved hjelp av AI. Unmanned Nordic Converence - UNC 2020; Digitalt, 11/23/2020 - 11/24/2020.
2019
. Metodikk for ÅDT-belegging - forslag til løsning. Dialogkonferanse knyttet til anbud rundt ÅDT-belegging; Statens Vegvesen Vegdirektoratet, 9/13/2019.
. The COGMAR project: Ubiquitous cognitive computer vision for marine services. Community of Practice Data Science & AI i Capgemini Norge; Oslo, 4/28/2019.
2017
. AI & deep learning: what´s next in Earth observation. SPACEPORT Norway; Stavanger, 6/19/2017 - 6/21/2017.
2016
. Numerical simulation of documented snow avalanche events in Fagaras Mountains. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop, 9/27/2016.
. Status and further development of CryoClim global Snow Cover Extent product. WMO GCW 2nd Snow Watch Team Meeting; Columbus, Ohio, 6/13/2016 - 6/14/2016.
2015
. A gentle introduction to deep learning. Oslo Data Science Meetup, 9/2/2015.
. Statistikk og satellitter - innsikt gjennom tall og bilder. Informasjonsseminar om FoU innen vegtrafikk; Oslo, 6/18/2015.
Poster
2022
. Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior. SFI Visual Intelligence Days 2022; Quality Hotel Olavsgaard, Hvamstubben 11, 2013 Skjetten, 9/28/2022 - 9/29/2022.
. Improving marine acoustic target classification with context information. ICES Annual Science Conference 2022; Dublin, 9/19/2022 - 9/22/2022.
. Automatic detection of seal pups on ice from aerial images. ICES Annual Science Conference 2022; Dublin, 9/19/2022 - 9/22/2022.
2021
. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data. SFI Visual Intelligence days 2021; Scandic hotel st.Olav, Oslo, Norway, 10/18/2021 - 10/20/2021.
. Improving marine acoustic target classification with context information. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
2020
. Understanding a Neural Network by Visualization: Application to Fish Age Prediction. Northern Lights Deep Learning Workshop 2020; Tromsø, 1/20/2020 - 1/21/2020.
2019
. DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event; Vannes, 5/22/2019 - 5/24/2019.
. Deep learning based value chain for Sentinel-2 land cover mapping. ESA Living Planet Symphosium, 5/13/2019 - 5/17/2019.
2018
. Avalanche detection in sar images using deep learning. International Geoscience and Remote Sensing Symposium, IGARSS 2018; Valencia, 7/22/2018 - 7/27/2018.
. Local and regional trends in snow cover from a 34-year time series of satellite observations. 2018 EUMETSAT Meteorological Satellite Conference; Tallinn, 9/17/2018 - 9/21/2018.
. A COMPARISON OF DEEP LEARNING ARCHITECTURES FOR SEMANTIC MAPPING OF VERY HIGH RESOLUTION IMAGES. 2018 International Geoscience and Remote Sensing Symposium; Valencia, 7/22/2018 - 7/27/2018. Fulltekst Sammendrag
2017
. Semi-automatic detection of ice breeding seal pups in aerial images using deep learning techniques. 22nd Biennial Conference on Biology of Marine Mammals; Halifax, 10/22/2017 - 10/27/2017.
2016
. Remote Sensing of Environmental Variables for National Biodiversity Indicator Systems. GeoBon 2016, 4/29/2016.
. Calculation of mean forest vegetation height in Tanzania from Landsat time series and airborne laser scanning data. 3rd EARSeL SIG on Forestry Workshop; Krakow, 9/15/2016 - 9/16/2016. Sammendrag
. Single and multi-sensor snow wetness mapping by Sentinel-1 and Sentinel-3 data. ESA Living Planet Symposium; Prague, 5/9/2016 - 5/13/2016.
. Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs. CIFAR-CRM Deep Learning Summer School 2016, 8/7/2016.
. Estimating dates for melted snow cover using multitemporal Landsat and Sentinel images. Living Planet Symposium; Praha, 5/9/2016 - 5/13/2016.
2014
. Unsupervised change detection in large-size images: exploring edges in multi-temporal remote sensing acquisitions. 5th Geographic Object-Based Image Analysis Conference (GEOBIA); Thessaloniki, 5/21/2014 - 5/24/2014.
2012
. X-Bragg based detection of oil spills using polarimetric SAR. SeaSAR 2012; Tromsø, 6/18/2012 - 6/22/2012.
Report
2021
. Snow Product User Guide. AI4Arctic guide to snow products V1. Norsk Regnesentral. NR-notat SAMBA/15/21. pp 26. 2021.
. Final report. AI4Arctic Deliverable 6. Norsk Regnesentral. NR-notat SAMBA/19/21. pp 78. 2021.
. InfraUAS: Monitoring of critical infrastructure using UAVs: Technical Report. Norsk Regnesentral. NR-notat SAMBA/42/21. pp 57. 2021.
. Driftspilot naturinngrep. Norsk Regnesentral. NR-notat SAMBA/40/21. pp 84. 2021.
2020
. Design and development toward a global flood monitoring product. GlobFlom report. Norsk Regnesentral. NR-notat SAMBA/49/20. pp 68. 2020.
. Mid-term report. AI4Arctic Deliverable 5. Norsk Regnesentral. NR-notat SAMBA/39/20. pp 38. 2020.
. Problem statement and methodologies. AI4Arctic Deliverable 1. Norsk Regnesentral. NR-notat SAMBA/18/20. pp 46. 2020.
. ICT requirements and API. AI4Arctic Deliverable 2. Norsk Regnesentral. NR-notat SAMBA/20/20. pp 24. 2020.
. Software package: AI4Arctic Deliverable 4. Norsk Regnesentral. NR-notat SAMBA/47/20. pp 26. 2020.
. Stedsbasert risiko for vannskader - fase 1: Vurdering av topografiske indekser. Norsk Regnesentral. NR-notat SAMBA/48/20. pp 34. 2020.
. Deep learning in seismic interpretations - Development and experiments 2020. Norsk Regnesentral. NR-notat SAMBA/51/20. pp 26. 2020.
. Kartlegging av naturinngrep. Sluttrapport. Norsk Regnesentral. NR-notat SAMBA/10/2020. pp 233. 2020.
2019
. Visualization of deep neural networks applied to fish age prediction. Norsk Regnesentral. NR-notat SAMBA/42/19. pp 36. 2019.
. Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase 3. Norsk Regnesentral. NR-notat SAMBA/09/2019. pp 42. 2019.
. System for deteksjon og kartlegging av flom basert på SAR. Norsk Regnesentral. NR-notat SAMBA/11/19. pp 20. 2019.
. Automatic interpretation of otoliths with deep learning - explaining predictions. Norsk Regnesentral. NR-notat SAMBA/19/19. pp 33. 2019.
. ESA CCI+ Snow ECV: End-to-End ECV Uncertainty Budget, verson 1.0. European Space Agency. pp 26. 2019.
. Algorithms for flood detection and mapping by SAR. Algorithm Theoretical Basis Document, Flood Service System at NVE. Norsk Regnesentral. NR-notat SAMBA/10/19. pp 24. 2019.
. Deep learning in seismic interpretation. Norsk Regnesentral. NR-notat SAMBA/49/19. pp 39. 2019.
. Kartlegging av naturinngrep. Foreløpig rapport. Norsk Regnesentral. NR-notat SAMBA/46/19. pp 27. 2019.
. Metodikk for ÅDT-belegging - statistisk modell og datakilder. Norsk Regnesentral. NR-notat SAMBA/26/19. pp 24. 2019.
2018
. Sentinel4Nature: Estimating environmental gradients and properties using remote sensing. Norsk institutt for naturforskning. NINA rapport 1545. (ISBN 978-82-426-3283-8) pp 72. 2018. Fulltekst
. Next Generation Value Chain for Earth Observation. Technical note: methodologies. Norsk Regnesentral. NR-notat SAMBA/36/18. pp 41. 2018.
. Further advancement of global snow mapping in CryoClim. Sentinel4CryoClim Phase 2 - Deliverables 1, 3-7. Norsk Regnesentral. NR-notat SAMBA/44/18. pp 82. 2018.
. Next Generation Value Chain for Earth Observation (NGVEO). Final report. Norsk Regnesentral. NR-notat SAMBA/37/18. pp 25. 2018.
. A New Value Chain for Earth Observation. Research agenda for AI and ML and the role of ESA. Norsk Regnesentral. NR-notat SAMBA/35/18. pp 21. 2018.
. Project Management Plan: New Generation Earth Observation Value Chain (NGVEO). Norsk Regnesentral. NR-notat SAMBA/10/18. pp 20. 2018.
2017
. Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase nr. 1. Norsk Regnesentral. NR-notat SAMBA/07/2017. pp 34. 2017.
. Utvikling av operasjonell flomtjeneste ved NVE, Resultater fra prosjektfase 2. Norsk Regnesentral. NR-notat SAMBA/37/2017. pp 28. 2017.
. Multi-sensor/multi-temporal prototype wet snow product – Version 3, SnowBall WP3, Deliverable D3.4, Sentinel-3 extension. Norsk Regnesentral. NR-notat SAMBA/16/2017. pp 112. 2017.
. Multi-sensor/multi-temporal prototype wet snow product – Version 2, SnowBall WP3, Deliverable D3.4. Norsk Regnesentral. NR-notat SAMBA/15/2017. pp 34. 2017.
. Advancement of global snow mapping in CryoClim, Sentinel4CryoClim Phase 1, Deliverables 1-6. Norsk Regnesentral. NR-notat SAMBA/10/2017. pp 80. 2017.
. Semi-automatic detection of ice breeding seal pups. Norsk Regnesentral. NR-notat SAMBA/03/2017. pp 20. 2017.
2016
. Automatic multi-sensor forest vegetation height mapping methods for Tanzania. Norsk Regnesentral. NR-notat SAMBA/04/16. pp 44. 2016.
. Oil spill detection using optical and thermal remote sensing data. Norsk Regnesentral. NR-notat SAMBA/55/16. pp 34. 2016.
. Automatic mapping of forest roads. Norsk Regnesentral. NR-notat SAMBA/41/16. pp 36. 2016.
. Application of remote sensing in cultural heritage management. CultSearcher project report 2015. Norsk Regnesentral. NR-notat SAMBA/08/16. pp 195. 2016. Fulltekst
. Classification of ocean surface slicks in hybrid polarimetric SAR data. Norsk Regnesentral. NR-notat SAMBA/43/16. pp 53. 2016.
. Sentinel4Nature: Estimating environmental gradients and properties using remote sensing. Norsk institutt for naturforskning. NINA Kortrapport 6. (ISBN 978-82-426-2867-1) pp 20. 2016. Fulltekst
2015
. Multi-sensor/multi-temporal prototype wet snow product – Version 1. Norsk Regnesentral. NR-notat SAMBA/48/15. pp 48. 2015.
. Validated wet snow retrieval algorithms. Norsk Regnesentral. NR-notat SAMBA/47/15. pp 92. 2015.
. State-of-the-art review of oil spill detection using optical and thermal remote sensing data. Norsk Regnesentral. NR-notat SAMBA/14/15. pp 27. 2015.
2014
. Benchmark test results of final processing chains - EU FP-7 project SeaU, Deliverable 15.2. Research Executive Agency - European Commission Brussels. pp 32. 2014.
2013
. Evaluation of SWE retrieved from satellite PMR data for three catchments in Hardangervidda. Norsk Regnesentral. NR-notat SAMBA/34/13. pp 90. 2013.
. Report SAR analysis and comparisons - EU FP-7 project SeaU, Deliverable 12.1. Research Executive Agency - European Commission. pp 94. 2013.
. Signal and image processing for ultrasound camera. Norsk Regnesentral. NR-notat SAMBA/43/13. pp 40. 2013.
. ASAM - towards an automated snow property and avalanche mapping system. Pattern recognition of avalanches using optical data. 2013 report. Norsk Regnesentral. NR-notat SAMBA/55/13. pp 25. 2013.
. Multisource oil spill detection - EU FP-7 project SeaU, Deliverable 13.1. Research Executive Agency - European Commission. pp 140. 2013.
2012
. FINAL REPORT WP2 AND WP3 MULTI MISSION OIL SPILL DETECTION (MOISD). Universitetet Tromsø. Inst. for fysikk og teknologi. pp 27. 2012.
. Cloud and cloud shadow detection in Landsat images for monitoring tropical forests in Tanzania. Norsk Regnesentral. NR-notat SAMBA/06/12. pp 158. 2012.
. Satellittbasert kartlegging av Naturtyper i Norge: Prosjektrapport. Norsk Regnesentral. NR-notat SAMBA/56/12. pp 55. 2012.
2011
. Evaluation of automatic detection of avalanches in high-resolution optical satellite data. Results from the ESA avalRS project's feasibility study on automated avalanche detection. Norsk Regnesentral. NR-notat SAMBA/23/11. pp 32. 2011.
. Plan for operasjonalisering av SatTrafikk-systemet i 2012-2013. Norsk Regnesentral. NR-notat SAMBA/55/11. pp 30. 2011.
. Application of remote sensing in management of cultural heritage. Project Report 2010. Norsk Regnesentral. NR-notat SAMBA/11/11. pp 139. 2011.
. Service Implementation Document – Deliverable 3. ESA project report, AvalRS, ESRIN/Contract No. 22139/08/I-EC. European Space Agency. pp 91. 2011.
. Benchmark test results – initial chains. SeaU EU FP7 project, Project No. 263246, Deliverable D15.1. pp 20. 2011.
. SatHavOlje 2010: Processing chain for Radarsat-2 VV and algorithm improvements. Norsk Regnesentral. NR-notat SAMBA/56/11. pp 21. 2011.
2010
. Application of satellite data in management of cultural heritage. Project Report 2009. Norsk Regnesentral. NR-notat SAMBA/35/09. pp 138. 2010. Fulltekst
. SatTrafikk 2010 - Operasjonelt scenario. Norsk Regnesentral. NR-notat SAMBA/58/10. pp 18. 2010.
. Automatic detection of avalanches in high-resolution optical satellite data – Results from the ESA AvalRS project’s feasibility study on automated avalanche detection. Norsk Regnesentral. NR-notat SAMBA/04/10. pp 38. 2010. Fulltekst
. SatHavOlje 2009. Processing chain for Radarsat-2 HH. Confidence improvements for Envisat ASAR VV. Norsk Regnesentral. NR-notat SAMBA/54/09. pp 27. 2010.
2009
. Leaf Area Index Estimation Using ENVISAT ASAR and Radarsat-2. Norsk Regnesentral. NR-notat SAMBA/30/09. pp 37. 2009. Fulltekst
. Leaf Area Index Estimation from Land Cover Classification Based on Hyperspectral Data. Norsk Regnesentral. NR-notat SAMBA/52/09. pp 20. 2009.
. Land cover classification of cloud-contaminated multi-temporal high-resolutionsatellite images. SAMBA/45/09. pp 23. 2009. Fulltekst
Feature article
2016
. En revolusjon innen maskinlæring. Teknisk Ukeblad. 2016.
Article in business/trade/industry journal
2021
. Machine Learning + Marine Science: Critical Role of Partnerships in Norway. Journal of Ocean Technology (ISSN 1718-3200). 16(3) pp 1-9. 2021. Arkiv
Popular scientific article
2019
. Kunstig intelligens finner skjulte kulturminner. Aftenposten (morgenutg. : trykt utg.) (ISSN 0804-3116). pp 24-25. 12/17/2019.
| Name: | Arnt-Børre Salberg |
| Title: | Seniorforsker / Senior Research Scientist |
| Phone: | (+47) +47 22 85 26 51 |
| Email: | salberg [at] nr [dot] no |
| Scientific areas: | Remote sensing, Machine learning, Deep learning, Image analysis, Signal processing |
| Add to contacts (vCard) |
| Show publications |
Academic anthology/Conference proceedings
2009
(eds). Image Analysis. 16th Scandinavian Conference, SCIA 2009 Oslo Norway, June 2009. Proceedings. Springer. (ISBN 3-642-02229-4). pp 779. 2009.
Non-fiction book
2009
. Image Analysis, 16th Scandinavian Conference Proceedings (SCIA), Oslo, Norway, June 2009, Springer Verlag Lecture Notes in Computer Science, LNCS 5575. : 2009.
Academic article
2023
. Deep Semi-Supervised Semantic Segmentation in Multi-Frequency Echosounder Data. IEEE Journal of Oceanic Engineering (ISSN 0364-9059). doi: 10.1109/JOE.2022.3226214. 2023. Arkiv
2022
. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. International Journal of Remote Sensing (ISSN 0143-1161). 43(9) pp 3509-3535. doi: 10.1080/01431161.2022.2098078. 2022.
. Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning. International Journal of Applied Earth Observation and Geoinformation (ISSN 1569-8432). 111 pp 1-13. doi: 10.1016/j.jag.2022.102840. 2022.
. Coastal habitat mapping with UAV multi-sensor data: an experiment among DCNN-based approaches. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISSN 2194-9042). V-3-2022 pp 439-445. doi: 10.5194/isprs-annals-V-3-2022-439-2022. 2022. Arkiv
. Automatic Fish Age Determination across Different Otolith Image Labs Using Domain Adaptation. Fishes (ISSN 2410-3888). 7(2) pp 1-16. doi: 10.3390/fishes7020071. 2022. Arkiv
. Detection of forest roads in Sentinel-2 images using U-Net. Proceedings of the Northern Lights Deep Learning Workshop. 3 doi: 10.7557/18.6246. 2022. Fulltekst
. DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images. Fishes (ISSN 2410-3888). 7(3) doi: 10.3390/fishes7030121. 2022. Arkiv
2021
. Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science (ISSN 1054-3139). 78(7) pp 2615-2627. doi: 10.1093/icesjms/fsab140. 2021. Arkiv Fulltekst
. Estimating Traffic in Urban Areas from Very-High Resolution Aerial Images. International Journal of Remote Sensing (ISSN 0143-1161). 42(3) pp 865-883. doi: 10.1080/01431161.2020.1815891. 2021. Arkiv
. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images. International Journal of Remote Sensing (ISSN 0143-1161). 42(16) pp 6184-6208. doi: 10.1080/01431161.2021.1936267. 2021. Arkiv
2020
. Explaining decisions of deep neural networks used for fish age prediction. PLOS ONE (ISSN 1932-6203). 15(6) doi: 10.1371/journal.pone.0235013. 2020. Arkiv
. Dense dilated convolutions merging network for land cover classification. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 58(9) pp 6309-6320. doi: 10.1109/TGRS.2020.2976658. 2020. Arkiv Fulltekst Omtale
. Acoustic classification in multifrequency echosounder data using deep convolutional neural networks. ICES Journal of Marine Science (ISSN 1054-3139). 77(4) pp 1391-1400. doi: 10.1093/icesjms/fsz235. 2020. Arkiv
. Machine intelligence and the data-driven future of marine science. ICES Journal of Marine Science (ISSN 1054-3139). doi: 10.1093/icesjms/fsz057. 2020. Arkiv
2019
. Flood detection in Norway based on Sentinel-1 SAR imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (ISSN 1682-1750). XLII-3/W8 pp 349-355. doi: 10.5194/isprs-archives-XLII-3-W8-349-2019. 2019. Omtale
. Deep divergence-based approach to clustering. Neural Networks (ISSN 0893-6080). 113 pp 91-101. doi: 10.1016/j.neunet.2019.01.015. 2019. Arkiv
2018
. Urban land cover classification with missing data modalities using deep convolutional neural networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (ISSN 1939-1404). 11(6) pp 1758-1768. doi: 10.1109/JSTARS.2018.2834961. 2018. Arkiv Fulltekst
. Classification of Ocean Surface Slicks in SimulatedHybrid-Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 56(12) pp 7062-7073. doi: 10.1109/TGRS.2018.2847724. 2018. Fulltekst
. Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data. European Journal of Remote Sensing (ISSN 2279-7254). 51(1) pp 336-351. doi: 10.1080/22797254.2018.1434424. 2018. Fulltekst
. Multi-sensor forest vegetation height mapping methods for Tanzania. European Journal of Remote Sensing (ISSN 2279-7254). 51(1) pp 587-606. doi: 10.1080/22797254.2018.1461533. 2018. Fulltekst
2017
. Remote sensing of snow wetness in Romania by Sentinel-1 and Terra MODIS data. Romanian Journal of Physics (ISSN 1221-146X). 62(821) 2017. Omtale Fulltekst
. Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data. Lecture Notes in Computer Science (LNCS) (ISSN 0302-9743). 10269 LNCS pp 431-442. doi: 10.1007/978-3-319-59126-1_36. 2017. Arkiv
2016
. Oil spill characterization in the hybrid-polarity SAR domain using log-cumulants. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 10004 doi: 10.1117/12.2241098. 2016.
. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (ISSN 2160-7508). pp 680-688. doi: 10.1109/CVPRW.2016.90. 2016.
2014
. Classification of ocean surface slicks in hybrid-polarimetric SAR data. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 9244 doi: 10.1117/12.2067474. 2014.
. Oil spill detection in hybrid-polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 52(10) pp 6521-6533. doi: 10.1109/TGRS.2013.2297193. 2014.
2013
. Fusion of satellite and aerial images for identification and modeling of nature types. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 8892 doi: 10.1117/12.2029003. 2013.
. Multisource oil spill detection. Proceedings of SPIE, the International Society for Optical Engineering (ISSN 0277-786X). 8892 doi: 10.1117/12.2029208. 2013.
. Automatic system for operational traffic monitoring using very-high-resolution satellite imagery. International Journal of Remote Sensing (ISSN 0143-1161). 34(13) pp 4850-4870. doi: 10.1080/01431161.2013.782708. 2013.
2012
. Model based oil spill detection using polarimetric SAR. IEEE Geoscience and Remote Sensing Letters (ISSN 1545-598X). pp 5884-5887. doi: 10.1109/IGARSS.2012.6352270. 2012.
. TEMPORAL ANALYSIS OF MULTISENSOR DATA FOR FOREST CHANGE DETECTION USING HIDDEN MARKOV MODELS. IEEE Geoscience and Remote Sensing Letters (ISSN 1545-598X). pp 6749-6752. 2012.
. Land-cover classification of partly missing data using support vector machines. International Journal of Remote Sensing (ISSN 0143-1161). 33(14) pp 4471-4481. doi: 10.1080/01431161.2011.648378. 2012.
2011
. Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 49(1) pp 377-387. doi: 10.1109/TGRS.2010.2052464. 2011.
2010
. Estimation of Pup Production of Hooded and Harp Seals in the Greenland Sea in 2007: Reducing Uncertainty Using Generalized Additive Models. Journal of Northwest Atlantic Fishery Science (ISSN 0250-6408). 42 doi: 10.2960/J.v42.m642. 2010.
2009
. Estimation of seal pup production from aerial surveys using generalized additive models. Canadian Journal of Fisheries and Aquatic Sciences (ISSN 0706-652X). 66(5) pp 847-858. doi: 10.1139/F09-040. 2009.
. Towards accurate age determination of Greenland halibut. Journal of Northwest Atlantic Fishery Science (ISSN 0250-6408). 40 pp 81-95. 2009.
2008
. Estimation of hooded seal (Cystophora cristata) pup production in the Greenland Sea pack ice during the 2005 whelping season. Polar Biology (ISSN 0722-4060). 31 pp 867-878. doi: 10.1007/s00300-008-0425-0. 2008.
2000
. Stochastic process shift keying: A novel modulation method for secure digital communications. European Signal Processing Conference (ISSN 2076-1465). (March) 2000. Fulltekst
Academic chapter/article/Conference paper
2020
. The 1st Agriculture-Vision Challenge: Methods and Results. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 212-218. doi: 10.1109/CVPRW50498.2020.00032. 2020. Arkiv Fulltekst
. Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. (ISBN 978-1-7281-9360-1). pp 199-205. doi: 10.1109/CVPRW50498.2020.00030. 2020. Arkiv Omtale Fulltekst Sammendrag Data Prosjekt
. Self-Constructing Graph Convolutional Networks for Semantic Labeling. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9324719. 2020. Arkiv
. Large-Scale Vegetation Height Mapping from Sentinel Data Using Deep Learning. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. Proceedings. (ISBN 9781728163741). doi: 10.1109/IGARSS39084.2020.9323815. 2020. Arkiv
2019
. Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. In: Joint Urban Remote Sensing Event, JURSE 2019. (ISBN 978-1-7281-0009-8). pp 1-4. doi: 10.1109/JURSE.2019.8809046. 2019. Omtale Fulltekst
. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. (ISBN 978-1-5386-9154-0). pp 5041-5044. doi: 10.1109/IGARSS.2019.8900082. 2019. Omtale
2018
. A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. (ISBN 978-1-5386-7150-4). pp 6943-6946. doi: 10.1109/IGARSS.2018.8518533. 2018. Omtale Fulltekst
. Semi-automatic mapping of charcoal kilns from airborne laser scanning data using deep learning. In: Oceans of data. Proceedings of the 44th Annual Conference on Computer Applications and Quantitative Methods in Archaeology. (ISBN 9781784917302). pp 219-231. 2018. Fulltekst
2017
. Deep divergence-based clustering. In: 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). (ISBN 978-1-5090-6341-3). doi: 10.1109/MLSP.2017.8168158. 2017. Fulltekst
. Urban land cover classification with missing data using deep convolutional neural networks. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). (ISBN 978-1-5090-4951-6). pp 5161-5164. doi: 10.1109/IGARSS.2017.8128164. 2017. Fulltekst
. Large-Scale Mapping of Small Roads in Lidar Images Using Deep Convolutional Neural Networks. In: Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. (ISBN 978-3-319-59128-5). pp 193-204. doi: 10.1007%2F978-3-319-59129-2_17. 2017.
2016
. Automatic detection and mapping of avalanches in SAR images. In: Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. (ISBN 978-1-5090-3332-4). pp 689-692. doi: 10.1109/IGARSS.2016.7729173. 2016. Fulltekst
2015
. Detection of seals in remote sensing images using features extracted from deep convolutional neural networks. In: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015). (ISBN 978-1-4799-7929-5). pp 1893-1896. doi: 10.1109/IGARSS.2015.7326163. 2015.
2013
. Semi-automatic detection of rainfall-triggered landslides in segmented optical satellite images. In: Proceeding of The Joint Urban Remote Sensing Event (JURSE) 2013. (ISBN 978-1-4799-0213-2). pp 254-257. doi: 10.1109/JURSE#.2013.6550713. 2013.
2012
. Model based oil spill detection using polarimetric SAR. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. (ISBN 978-1-4673-1160-1). pp 5884-5887. doi: 10.1109/IGARSS.2012.6352270. 2012.
. Operational Traffic Monitoring Using Very High Resolution Satellite Imagery. In: Proceedings of the 32nd EARSeL Symposium, Advances in Geosciences, Mykonos Island, Greece, 21 May - 24 May 2012. (ISBN 978-960-88490-3-7). pp 608-617. doi: 10.1080/01431161.2013.782708. 2012. Fulltekst
. Object-based cloud and cloud shadow detection in Landsat images for tropical forest monitoring. In: Proceedings of the 4th GEOBIA. Conference on geographic object-based image analysis. 7-9 May 2012, Rio de Janeiro, Brazil. (ISBN 978-85-17-00059-1). pp 326-331. 2012. Fulltekst
. TEMPORAL ANALYSIS OF MULTISENSOR DATA FOR FOREST CHANGE DETECTION USING HIDDEN MARKOV MODELS. In: Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. (ISBN 978-1-4673-1160-1). pp 6749-6752. doi: 10.1109/igarss.2012.6352556. 2012. Fulltekst
2011
. Temporal analysis of forest cover using hidden Markov models. In: Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. (ISBN 978-1-4577-1005-6). pp 2322-2325. doi: 10.1109/igarss.2011.6049674. 2011. Fulltekst
. Retraining maximum likelihood classifiers using a low-rank model. In: Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. (ISBN 978-1-4577-1005-6). pp 166-169. doi: 10.1109/igarss.2011.6048958. 2011. Omtale Fulltekst
. Automatic vehicle counts from QuickBird images. In: Urban Remote Sensing Event (JURSE), 2011 Joint. (ISBN 978-1-4244-8657-1). pp 9-12. doi: 10.1109/jurse.2011.5764706. 2011. Omtale Fulltekst
. Automated extraction of traffic information from satellite imagery. In: The seventh conference on image information mining. Geospatial intelligence from earth observation. (ISBN 978-92-79-19708-6). pp 5-8. 2011. Fulltekst
2010
. DUE avalRS: Remote-Sensing Derived Avalanche Inventory Data for Decision Support and Hind-Cast after Avalanche Events. In: Proceedings of the ESA Living Planet Symposium. (ISBN 978-92-9221-250-6). 2010. Fulltekst
Academic lecture
2022
. Detection of nature interventions in Sentinel-2 images of Norway using U-Net. 41st EARSeL Symposium; Pafos, Kypros, 9/13/2022 - 9/16/2022.
. An online otolith age reader using deep neural networks: Perspectives and challenges. ICES Annual Science Conference 2022; Dublin, Irland, 9/19/2022 - 10/22/2022.
. Detection of forest roads in Sentinel-2 images using U-Net. Northern Lights Deep Learning Conference 2022; Tromsø, 1/10/2022 - 1/12/2022.
2021
. A new climate snow cover record based on ATSR-2 and AATSR. EUMETSAT 2021 Conference, 9/20/2021 - 9/24/2021.
. Development of a new 38-year time series of daily, global fractional snow cover products based on fusion of optical and passive microwave radiometer data. From Science to Operations for Copernicus Imaging Microwave Radiometer (CIMR) Mission, 5/11/2021 - 5/12/2021.
. PAGNet Models for The 2nd Agriculture-Vision Challenges CVPR 2021. CVPR 2021 Workshop on AGRICULTURE-VISION, 6/20/2021 - 6/21/2021. Fulltekst Omtale Sammendrag
. Deep domain adaptation applied to automatic fish age prediction. Visual Intelligence workshop on learning from limited data; Teams seminar, 2/12/2021 - 2/12/2021 1:00:00 AM.
2020
. Deteksjon av veier med Sentinel. Fjernmåling av endringer i inngrepsfri natur. Møte i faggruppe satellittdata; Hønefoss, 9/7/2020.
. MSCG-Net Models for The 1st Agriculture-Vision Challenge CVPR 2020. CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (online), 6/14/2020 - 6/19/2020. Fulltekst Omtale Sammendrag
. MSCG-Net with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR 2020 Workshop on AGRICULTURE-VISION; Seattle (Online), 6/14/2020 - 6/19/2020. Prosjekt Fulltekst
. Deteksjon av veier i Sentinel-2 med U-Net. Fjernmåling av endringer i inngrepsfri natur. Fjernmålingsseminaret: presentasjon av Mdir 2020-prosjektene; Trondheim, 12/8/2020.
. Making sense of deep CNNs for image recognition applications. XAI - Explaning what goes on inside DNN/AI; Digitalt, 11/10/2020.
2019
. Landslide detection and mapping by remote sensing. International Symposium on Mitigative Measures against Snow Avalanches and Other Rapid Gravity Mass Flows, 3-5 April 2019,; Siglufjörður, 4/3/2019 - 4/5/2019.
. Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS 2019; Yokohama, 7/27/2019 - 8/2/2019. Omtale
. The COGMAR project. Norway-US Workshop on Machine Learning to Improve Science for the Sustainability of Living Ocean Resources; Bergen, 4/23/2019 - 4/25/2019.
. DDCM Network for Semantic Mapping of Remote Sensing Images. NLDL2019: Northern Lights Deep Learning Workshop; Tromsø, 1/8/2019 - 1/10/2019. Omtale
2018
. Urban Traffic Density Estimation for Air Pollution Modelling using Deep Neural Networks. EARSeL - 5th Joint Workshop - "Urban Remote Sensing – Challenges & Solutions"; Bochum, 9/24/2018 - 9/26/2018.
. Local and regional trends in snow cover from a 34-year time series of satellite observations. 15th International Circumpolar Remote Sensing Symposium (ICRSS); Potsdam, 9/10/2018 - 9/14/2018.
. Panel discussion: Generalization and transferability in Deep Learning. Northern Lights Deep Learning Workshop 2018; Tromsø, 1/10/2018 - 1/11/2018.
. Maskinlæring og jordobservasjon. Fjernmåling i miljøovervåking og kartlegging; Oslo, 11/30/2018.
. Experiences from 5 years of using deep learning within Earth observation. Phi-lab Seminar; ESRIN, Roma, 11/8/2018.
. AI4EO Challenges in the context of the Great Green Wall Initiative. The ESA Earth Observation Phi-week; ESRIN, Roma, 11/12/2018 - 11/16/2018.
2017
. Local and regional trends in snow cover from a 34-year time series of satellite observations. IGS International Symposium on Polar Ice, Polar Climate, Polar Change; Boulder, CO, 8/14/2017 - 8/19/2017.
. Remote sensing of snow wetness using Sentinel: a multisensor approach. IGS International Symposium on Polar Ice, Polar Climate, Polar Change; Boulder, CO, 8/14/2017 - 8/19/2017.
. Urban land cover classification with missing data using deep convolutional neural networks. 2017 IEEE International Geoscience and Remote Sensing Symposium; Fort Worth, TX, 7/23/2017 - 7/28/2017. Fulltekst
. Multi-sensor wet snow product (MWS) from Sentinel-1 and Sentinel-3 vs multi-sensor wet snow product (MWS) from Sentinel-1 and MODIS. 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing; Timisoara, 9/21/2017 - 9/24/2017.
. A multi-sensor multi-temporal approach to retrieving snow surface wetness from a combination of Sentinel-1 and Sentinel-3 data. 8th EARSeL workshop on Land Ice and Snow; Bern, 2/7/2017 - 2/9/2017.
. Earth observation big data and machine learning activities at Norsk Regnesentral. IT, big data og kunstig intelligens i JO i Norge, 12/12/2017.
. Forest tree species classification from airborne hyperspectral and laser scanning data using deep learning. 10th EARSeL SIG Imaging Spectroscopy Workshop; Zürich, 4/19/2017 - 4/21/2017.
2016
. Deep learning: machine learning meets big data. Invited lecuture at Department of Statistics at University of Oslo, 3/2/2016.
. Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition Workshops; Las Vegas, 7/1/2016. Fulltekst
. Deep learning. Engineering Day, 6/3/2016.
. Traffic statistics from very high resolution satellite images. Seminar: Satellitter for bedre veidata, 4/11/2016.
. Deep learning: a powerful tool to solve your computer vision problems. Invited lecure at the Department of Informatics, University of Oslo, 9/16/2016.
. Preparing for a national service for flood monitoring using Sentinel-1. ESA Living Planet Symposium, 5/9/2016.
. Automatic detection and segmentation of avalanches in remote sensing images using deep convolutional neural networks. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop, 9/27/2016.
. Single and multi-sensor snow wetness mapping by Sentinel-1 and Sentinel-3 data. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop; Timisoara, 9/24/2016 - 9/27/2016.
. Single- and multi-sensor snow wetness mapping by Sentinel-1 and MODIS data. 73rd Eastern Snow Conference; Columbus, Ohio, 6/14/2016 - 6/16/2016.
. Oil spill characterization in the hybrid-polarity SAR domain using log-cumulants. SPIE; Edinburgh, 9/19/2016 - 9/22/2016. Arkiv
. Semi-automatic detection of charcoal kilns from airborne laser scanning data. 44th Computer Applications and Quantitative Methods in Archaeology Conference (CAA 2016); Oslo, 3/29/2016 - 4/2/2016. Sammendrag
. Semi-automatic mapping of cultural heritage from airborne laser scanning using deep learning. EGU General Assembly 2016; Wien, 4/17/2016 - 4/22/2016. Sammendrag
2015
. Advancements and validation of the global CryoClim snow cover extent product. 2nd International Satellite Snow Products Intercomparison (ISSPI) Workshop; Boulder, Colorado, 9/14/2015 - 9/16/2015.
. Advancements and validation of a global snow product fusing optical and passive microwave radiometer data. 2015 EUMETSAT Meteorological Satellite Conference,; Toulouse, 9/21/2015 - 9/25/2015.
. Global snow cover mapping using a multi-temporal multi-sensor approach. 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images; Annecy, 7/22/2015 - 7/24/2015.
2014
. Oil spill detection and classification in hybrid-polarimetric SAR images. EGEMP – Workshop on Remote sensing monitoring of marine pollution; Koblenz, 10/13/2014 - 10/14/2014.
. A new global snow cover product based on multi-sensor multi-temporal satellite data. 1st Satellite Snow Product Intercomparison and Evaluation Experiment Workshop; Maryland, 7/21/2014 - 7/23/2014.
. A new multi-sensor multi-temporal global snow cover product based on satellite data. Climate Symposium 2014; Darmstadt, 10/13/2014 - 10/17/2014.
. A multi-sensor multi-temporal algorithm for snow cover extent retrieval from optical and passive microwave data. 7th EARSeL Workshop on Land Ice and Snow; Bern, 2/3/2014 - 2/6/2014.
. Object-based multi-sensor data fusion of satellite and aerial images for modeling mountain nature. 5th Geographic Object-Based Image Analysis (GEOBIA); Thessaloniki, 5/21/2014 - 5/24/2014.
2013
. Multisensor satellite technologies for oil pollution monitoring and source identification. NOBIM 2013 konferansen; Hafjell, Norge, 2/11/2013 - 2/12/2013.
. Automatic avalanche mapping using texture classification of optical satellite imagery. 33rd EARSeL Symposium; Matera, 6/3/2013 - 6/6/2013.
2012
. Remote-Sensing Derived Avalanche Inventory Data. International Snow Science Workshop; Anchorage, Alaska USA, 9/17/2012 - 9/21/2012. Fulltekst
. Current Advances in SAR Remote Sensing of Oil Slicks and a Look-Ahead. SeaSAR2012; Tromsø, 6/18/2012 - 6/22/2012.
. Oil spill detection in compact polarimetry SAR images. SeaSAR-2012; Tromsø, 6/18/2012 - 6/22/2012.
. Experiments with remote sensing in the context of avalanche warning and detection. Advances in Avalanche Forecasting; Podbanské, 10/22/2012.
2011
. Time-series analysis of satellite images for forest cover change monitoring in Tanzania. 1st EARSeL Workshop on Operational Remote Sensing in Forest Management; Praha, 6/2/2011 - 6/3/2011.
. Time-series analysis of satellite images for forest cover change monitoring in Tanzania. Nordic Remote Sensing Days; Tromsø, 8/30/2011 - 8/31/2011.
. Bayesian model for snow retrieval from SSM/I data. Nordic Remote Sensing Days; Tromsø, 8/30/2011 - 8/31/2011.
. The CryoClim system for cryospheric climate monitoring. Nordic Remote Sensing Days, 8/30/2011 - 8/31/2011. Fulltekst
. Automatic detection of avalanches in high resolution optical satellite data. Nordic Remote Sensing Days; Tromsø, 8/30/2011 - 8/31/2011.
. Metodikk for trafikkstatistikk. Del I: Grunnleggende beregninger. Del II: Satellitter. Idédugnad \Trafikk- og transportdata\", Statens Vegvesen Vegdirektoratet"; Trondheim, 3/31/2011.
2010
. Deteksjon av gravminner fra høyoppløselige satellittbilder. Deteksjon av fangstgroper fra lidarbilder. 3. norske CAA-konferansen, Oslo, Norge, 10/18/2010. Fulltekst
. Vehicle detection and roadside tree shadow removal in high resolution satellite images. GEOBIA 2010: GEOgraphic Object Based Image Analysis, 6/29/2010 - 7/2/2010.
. Experiments on Landsat scene 227-062 in Brazil. GEO Forest carbon tracking task, science and data summit, Woods Hole, Fallmouth, MA, USA, 11-12 May, 5/11/2010. Fulltekst
. Land Cover Classification of Cloud-Contaminated Multi-Temporal High-Resolution Images. NOBIM konferansen 2010 i Tromsø, 6/21/2010.
2009
. Traffic monitoring from space for sustainable development of the road network. ISRSE'33 International Symposium on Remote Sensing of Environment, 5/4/2009 - 5/8/2009.
. Land cover classification of cloud- and snow-contaminated multi-temporal high-resolutionsatellite images. 3rd Workshop of the EARSeL SiG Remote Sensing of Land Use and Land Cover, 25 - 27 November 2009, Bon, 11/24/2009. Fulltekst
2001
. The normal inverse Gaussian distribution as a model for multi-user interference. Thirty-fifth Annual Asilomar Conf. on Signals, Systems, and Computers; Pacific Grove, CA, 11/1/2001.
2000
. Pattern Recognition by Means of Higher-Order Statistics. Conf. Norwegian Society for Image Processing and Pattern Recognition; Trondheim, 1/1/2000.
1999
. Secure digital communications by means of stochastic process shift keying. Thirty-third Asilomar Conf. Signals, Syst., Comp, 1/1/1999.
Lecture
2022
. Visual intelligence in medicine and health, marine science, industry and energy, and earth observation. Hamar Digirama; Hamar, 3/17/2022.
. Trends in deep learning. Visual intelligence days 2022; Lillestrøm, 9/28/2022 - 9/29/2022.
. Introduction to convolutional neural networks. Visual intelligence days 2022; Lillestrøm, 9/28/2022 - 9/29/2022.
. Making sense of AI models. Hamar Digirama: En kunstig intelligent helaften, 11/10/2022.
2020
. Maskinlæring og jordobservasjon. Teknologisk rammeverk - fagmøte i regi av rammeverksgruppa om Kunstig Intelligens (KI); Digitalt, 9/4/2020.
. Automatisk bildetolkning ved hjelp av AI. Unmanned Nordic Converence - UNC 2020; Digitalt, 11/23/2020 - 11/24/2020.
2019
. Metodikk for ÅDT-belegging - forslag til løsning. Dialogkonferanse knyttet til anbud rundt ÅDT-belegging; Statens Vegvesen Vegdirektoratet, 9/13/2019.
. The COGMAR project: Ubiquitous cognitive computer vision for marine services. Community of Practice Data Science & AI i Capgemini Norge; Oslo, 4/28/2019.
2017
. AI & deep learning: what´s next in Earth observation. SPACEPORT Norway; Stavanger, 6/19/2017 - 6/21/2017.
2016
. Numerical simulation of documented snow avalanche events in Fagaras Mountains. The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Geoinformatics Workshop, 9/27/2016.
. Status and further development of CryoClim global Snow Cover Extent product. WMO GCW 2nd Snow Watch Team Meeting; Columbus, Ohio, 6/13/2016 - 6/14/2016.
2015
. A gentle introduction to deep learning. Oslo Data Science Meetup, 9/2/2015.
. Statistikk og satellitter - innsikt gjennom tall og bilder. Informasjonsseminar om FoU innen vegtrafikk; Oslo, 6/18/2015.
Poster
2022
. Explaining Marine Acoustic Target Classification in Multi-channel Echosounder Data using Self-attention Mask, Information-Bottleneck, and Mask Prior. SFI Visual Intelligence Days 2022; Quality Hotel Olavsgaard, Hvamstubben 11, 2013 Skjetten, 9/28/2022 - 9/29/2022.
. Improving marine acoustic target classification with context information. ICES Annual Science Conference 2022; Dublin, 9/19/2022 - 9/22/2022.
. Automatic detection of seal pups on ice from aerial images. ICES Annual Science Conference 2022; Dublin, 9/19/2022 - 9/22/2022.
2021
. Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data. SFI Visual Intelligence days 2021; Scandic hotel st.Olav, Oslo, Norway, 10/18/2021 - 10/20/2021.
. Improving marine acoustic target classification with context information. Visual Intelligence Days 2021; Oslo, 10/19/2021 - 10/20/2021.
2020
. Understanding a Neural Network by Visualization: Application to Fish Age Prediction. Northern Lights Deep Learning Workshop 2020; Tromsø, 1/20/2020 - 1/21/2020.
2019
. DDCM-Net for Semantic Mapping of Remote Sensing Images. JURSE2019 -Joint Urban Remote Sensing Event; Vannes, 5/22/2019 - 5/24/2019.
. Deep learning based value chain for Sentinel-2 land cover mapping. ESA Living Planet Symphosium, 5/13/2019 - 5/17/2019.
2018
. Avalanche detection in sar images using deep learning. International Geoscience and Remote Sensing Symposium, IGARSS 2018; Valencia, 7/22/2018 - 7/27/2018.
. Local and regional trends in snow cover from a 34-year time series of satellite observations. 2018 EUMETSAT Meteorological Satellite Conference; Tallinn, 9/17/2018 - 9/21/2018.
. A COMPARISON OF DEEP LEARNING ARCHITECTURES FOR SEMANTIC MAPPING OF VERY HIGH RESOLUTION IMAGES. 2018 International Geoscience and Remote Sensing Symposium; Valencia, 7/22/2018 - 7/27/2018. Fulltekst Sammendrag
2017
. Semi-automatic detection of ice breeding seal pups in aerial images using deep learning techniques. 22nd Biennial Conference on Biology of Marine Mammals; Halifax, 10/22/2017 - 10/27/2017.
2016
. Remote Sensing of Environmental Variables for National Biodiversity Indicator Systems. GeoBon 2016, 4/29/2016.
. Calculation of mean forest vegetation height in Tanzania from Landsat time series and airborne laser scanning data. 3rd EARSeL SIG on Forestry Workshop; Krakow, 9/15/2016 - 9/16/2016. Sammendrag
. Single and multi-sensor snow wetness mapping by Sentinel-1 and Sentinel-3 data. ESA Living Planet Symposium; Prague, 5/9/2016 - 5/13/2016.
. Semantic Segmentation of Small Objects and Uncertainty in Urban Remote Sensing Images Using CNNs. CIFAR-CRM Deep Learning Summer School 2016, 8/7/2016.
. Estimating dates for melted snow cover using multitemporal Landsat and Sentinel images. Living Planet Symposium; Praha, 5/9/2016 - 5/13/2016.
2014
. Unsupervised change detection in large-size images: exploring edges in multi-temporal remote sensing acquisitions. 5th Geographic Object-Based Image Analysis Conference (GEOBIA); Thessaloniki, 5/21/2014 - 5/24/2014.
2012
. X-Bragg based detection of oil spills using polarimetric SAR. SeaSAR 2012; Tromsø, 6/18/2012 - 6/22/2012.
Report
2021
. Snow Product User Guide. AI4Arctic guide to snow products V1. Norsk Regnesentral. NR-notat SAMBA/15/21. pp 26. 2021.
. Final report. AI4Arctic Deliverable 6. Norsk Regnesentral. NR-notat SAMBA/19/21. pp 78. 2021.
. InfraUAS: Monitoring of critical infrastructure using UAVs: Technical Report. Norsk Regnesentral. NR-notat SAMBA/42/21. pp 57. 2021.
. Driftspilot naturinngrep. Norsk Regnesentral. NR-notat SAMBA/40/21. pp 84. 2021.
2020
. Design and development toward a global flood monitoring product. GlobFlom report. Norsk Regnesentral. NR-notat SAMBA/49/20. pp 68. 2020.
. Mid-term report. AI4Arctic Deliverable 5. Norsk Regnesentral. NR-notat SAMBA/39/20. pp 38. 2020.
. Problem statement and methodologies. AI4Arctic Deliverable 1. Norsk Regnesentral. NR-notat SAMBA/18/20. pp 46. 2020.
. ICT requirements and API. AI4Arctic Deliverable 2. Norsk Regnesentral. NR-notat SAMBA/20/20. pp 24. 2020.
. Software package: AI4Arctic Deliverable 4. Norsk Regnesentral. NR-notat SAMBA/47/20. pp 26. 2020.
. Stedsbasert risiko for vannskader - fase 1: Vurdering av topografiske indekser. Norsk Regnesentral. NR-notat SAMBA/48/20. pp 34. 2020.
. Deep learning in seismic interpretations - Development and experiments 2020. Norsk Regnesentral. NR-notat SAMBA/51/20. pp 26. 2020.
. Kartlegging av naturinngrep. Sluttrapport. Norsk Regnesentral. NR-notat SAMBA/10/2020. pp 233. 2020.
2019
. Visualization of deep neural networks applied to fish age prediction. Norsk Regnesentral. NR-notat SAMBA/42/19. pp 36. 2019.
. Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase 3. Norsk Regnesentral. NR-notat SAMBA/09/2019. pp 42. 2019.
. System for deteksjon og kartlegging av flom basert på SAR. Norsk Regnesentral. NR-notat SAMBA/11/19. pp 20. 2019.
. Automatic interpretation of otoliths with deep learning - explaining predictions. Norsk Regnesentral. NR-notat SAMBA/19/19. pp 33. 2019.
. ESA CCI+ Snow ECV: End-to-End ECV Uncertainty Budget, verson 1.0. European Space Agency. pp 26. 2019.
. Algorithms for flood detection and mapping by SAR. Algorithm Theoretical Basis Document, Flood Service System at NVE. Norsk Regnesentral. NR-notat SAMBA/10/19. pp 24. 2019.
. Deep learning in seismic interpretation. Norsk Regnesentral. NR-notat SAMBA/49/19. pp 39. 2019.
. Kartlegging av naturinngrep. Foreløpig rapport. Norsk Regnesentral. NR-notat SAMBA/46/19. pp 27. 2019.
. Metodikk for ÅDT-belegging - statistisk modell og datakilder. Norsk Regnesentral. NR-notat SAMBA/26/19. pp 24. 2019.
2018
. Sentinel4Nature: Estimating environmental gradients and properties using remote sensing. Norsk institutt for naturforskning. NINA rapport 1545. (ISBN 978-82-426-3283-8) pp 72. 2018. Fulltekst
. Next Generation Value Chain for Earth Observation. Technical note: methodologies. Norsk Regnesentral. NR-notat SAMBA/36/18. pp 41. 2018.
. Further advancement of global snow mapping in CryoClim. Sentinel4CryoClim Phase 2 - Deliverables 1, 3-7. Norsk Regnesentral. NR-notat SAMBA/44/18. pp 82. 2018.
. Next Generation Value Chain for Earth Observation (NGVEO). Final report. Norsk Regnesentral. NR-notat SAMBA/37/18. pp 25. 2018.
. A New Value Chain for Earth Observation. Research agenda for AI and ML and the role of ESA. Norsk Regnesentral. NR-notat SAMBA/35/18. pp 21. 2018.
. Project Management Plan: New Generation Earth Observation Value Chain (NGVEO). Norsk Regnesentral. NR-notat SAMBA/10/18. pp 20. 2018.
2017
. Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase nr. 1. Norsk Regnesentral. NR-notat SAMBA/07/2017. pp 34. 2017.
. Utvikling av operasjonell flomtjeneste ved NVE, Resultater fra prosjektfase 2. Norsk Regnesentral. NR-notat SAMBA/37/2017. pp 28. 2017.
. Multi-sensor/multi-temporal prototype wet snow product – Version 3, SnowBall WP3, Deliverable D3.4, Sentinel-3 extension. Norsk Regnesentral. NR-notat SAMBA/16/2017. pp 112. 2017.
. Multi-sensor/multi-temporal prototype wet snow product – Version 2, SnowBall WP3, Deliverable D3.4. Norsk Regnesentral. NR-notat SAMBA/15/2017. pp 34. 2017.
. Advancement of global snow mapping in CryoClim, Sentinel4CryoClim Phase 1, Deliverables 1-6. Norsk Regnesentral. NR-notat SAMBA/10/2017. pp 80. 2017.
. Semi-automatic detection of ice breeding seal pups. Norsk Regnesentral. NR-notat SAMBA/03/2017. pp 20. 2017.
2016
. Automatic multi-sensor forest vegetation height mapping methods for Tanzania. Norsk Regnesentral. NR-notat SAMBA/04/16. pp 44. 2016.
. Oil spill detection using optical and thermal remote sensing data. Norsk Regnesentral. NR-notat SAMBA/55/16. pp 34. 2016.
. Automatic mapping of forest roads. Norsk Regnesentral. NR-notat SAMBA/41/16. pp 36. 2016.
. Application of remote sensing in cultural heritage management. CultSearcher project report 2015. Norsk Regnesentral. NR-notat SAMBA/08/16. pp 195. 2016. Fulltekst
. Classification of ocean surface slicks in hybrid polarimetric SAR data. Norsk Regnesentral. NR-notat SAMBA/43/16. pp 53. 2016.
. Sentinel4Nature: Estimating environmental gradients and properties using remote sensing. Norsk institutt for naturforskning. NINA Kortrapport 6. (ISBN 978-82-426-2867-1) pp 20. 2016. Fulltekst
2015
. Multi-sensor/multi-temporal prototype wet snow product – Version 1. Norsk Regnesentral. NR-notat SAMBA/48/15. pp 48. 2015.
. Validated wet snow retrieval algorithms. Norsk Regnesentral. NR-notat SAMBA/47/15. pp 92. 2015.
. State-of-the-art review of oil spill detection using optical and thermal remote sensing data. Norsk Regnesentral. NR-notat SAMBA/14/15. pp 27. 2015.
2014
. Benchmark test results of final processing chains - EU FP-7 project SeaU, Deliverable 15.2. Research Executive Agency - European Commission Brussels. pp 32. 2014.
2013
. Evaluation of SWE retrieved from satellite PMR data for three catchments in Hardangervidda. Norsk Regnesentral. NR-notat SAMBA/34/13. pp 90. 2013.
. Report SAR analysis and comparisons - EU FP-7 project SeaU, Deliverable 12.1. Research Executive Agency - European Commission. pp 94. 2013.
. Signal and image processing for ultrasound camera. Norsk Regnesentral. NR-notat SAMBA/43/13. pp 40. 2013.
. ASAM - towards an automated snow property and avalanche mapping system. Pattern recognition of avalanches using optical data. 2013 report. Norsk Regnesentral. NR-notat SAMBA/55/13. pp 25. 2013.
. Multisource oil spill detection - EU FP-7 project SeaU, Deliverable 13.1. Research Executive Agency - European Commission. pp 140. 2013.
2012
. FINAL REPORT WP2 AND WP3 MULTI MISSION OIL SPILL DETECTION (MOISD). Universitetet Tromsø. Inst. for fysikk og teknologi. pp 27. 2012.
. Cloud and cloud shadow detection in Landsat images for monitoring tropical forests in Tanzania. Norsk Regnesentral. NR-notat SAMBA/06/12. pp 158. 2012.
. Satellittbasert kartlegging av Naturtyper i Norge: Prosjektrapport. Norsk Regnesentral. NR-notat SAMBA/56/12. pp 55. 2012.
2011
. Evaluation of automatic detection of avalanches in high-resolution optical satellite data. Results from the ESA avalRS project's feasibility study on automated avalanche detection. Norsk Regnesentral. NR-notat SAMBA/23/11. pp 32. 2011.
. Plan for operasjonalisering av SatTrafikk-systemet i 2012-2013. Norsk Regnesentral. NR-notat SAMBA/55/11. pp 30. 2011.
. Application of remote sensing in management of cultural heritage. Project Report 2010. Norsk Regnesentral. NR-notat SAMBA/11/11. pp 139. 2011.
. Service Implementation Document – Deliverable 3. ESA project report, AvalRS, ESRIN/Contract No. 22139/08/I-EC. European Space Agency. pp 91. 2011.
. Benchmark test results – initial chains. SeaU EU FP7 project, Project No. 263246, Deliverable D15.1. pp 20. 2011.
. SatHavOlje 2010: Processing chain for Radarsat-2 VV and algorithm improvements. Norsk Regnesentral. NR-notat SAMBA/56/11. pp 21. 2011.
2010
. Application of satellite data in management of cultural heritage. Project Report 2009. Norsk Regnesentral. NR-notat SAMBA/35/09. pp 138. 2010. Fulltekst
. SatTrafikk 2010 - Operasjonelt scenario. Norsk Regnesentral. NR-notat SAMBA/58/10. pp 18. 2010.
. Automatic detection of avalanches in high-resolution optical satellite data – Results from the ESA AvalRS project’s feasibility study on automated avalanche detection. Norsk Regnesentral. NR-notat SAMBA/04/10. pp 38. 2010. Fulltekst
. SatHavOlje 2009. Processing chain for Radarsat-2 HH. Confidence improvements for Envisat ASAR VV. Norsk Regnesentral. NR-notat SAMBA/54/09. pp 27. 2010.
2009
. Leaf Area Index Estimation Using ENVISAT ASAR and Radarsat-2. Norsk Regnesentral. NR-notat SAMBA/30/09. pp 37. 2009. Fulltekst
. Leaf Area Index Estimation from Land Cover Classification Based on Hyperspectral Data. Norsk Regnesentral. NR-notat SAMBA/52/09. pp 20. 2009.
. Land cover classification of cloud-contaminated multi-temporal high-resolutionsatellite images. SAMBA/45/09. pp 23. 2009. Fulltekst
Feature article
2016
. En revolusjon innen maskinlæring. Teknisk Ukeblad. 2016.
Article in business/trade/industry journal
2021
. Machine Learning + Marine Science: Critical Role of Partnerships in Norway. Journal of Ocean Technology (ISSN 1718-3200). 16(3) pp 1-9. 2021. Arkiv
Popular scientific article
2019
. Kunstig intelligens finner skjulte kulturminner. Aftenposten (morgenutg. : trykt utg.) (ISSN 0804-3116). pp 24-25. 12/17/2019.
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