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Arnt Salberg
Arnt Salberg
Chief research scientist at Norwegian Computing Center
Bestätigte E-Mail-Adresse bei nr.no - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Semantic segmentation of small objects and modeling of uncertainty in urban remote sensing images using deep convolutional neural networks
M Kampffmeyer, AB Salberg, R Jenssen
2016 IEEE conference on computer vision and pattern recognition workshops …, 2016
7272016
Machine intelligence and the data-driven future of marine science
K Malde, NO Handegard, L Eikvil, AB Salberg
ICES Journal of Marine Science 77 (4), 1274-1285, 2020
1742020
Separation of Norwegian coastal cod and Northeast Arctic cod by outer otolith shape analysis
C Stransky, H Baumann, SE Fevolden, A Harbitz, H Høie, KH Nedreaas, ...
Fisheries Research 90 (1-3), 26-35, 2008
1522008
Oil spill detection in hybrid-polarimetric SAR images
AB Salberg, Ø Rudjord, AHS Solberg
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6521-6533, 2014
1462014
Dense dilated convolutions’ merging network for land cover classification
Q Liu, M Kampffmeyer, R Jenssen, AB Salberg
IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6309-6320, 2020
1362020
Doppler and frequency-offset synchronization in wideband OFDM
AB Salberg, A Swami
IEEE Transactions on Wireless Communications 4 (6), 2870-2881, 2005
912005
Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data
ØD Trier, AB Salberg, M Kermit, Ø Rudjord, T Gobakken, E Næsset, ...
European Journal of Remote Sensing 51 (1), 336-351, 2018
822018
Deep divergence-based approach to clustering
M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks 113, 91-101, 2019
752019
Accuracy and precision in stock separation of north-east Arctic and Norwegian coastal cod by otoliths–comparing readings, image analyses and a genetic method
E Berg, TH Sarvas, A Harbitz, SE Fevolden, AB Salberg
Marine and Freshwater Research 56 (5), 753-762, 2005
682005
Detection of seals in remote sensing images using features extracted from deep convolutional neural networks
AB Salberg
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
672015
Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
O Brautaset, AU Waldeland, E Johnsen, K Malde, L Eikvil, AB Salberg, ...
ICES Journal of Marine Science 77 (4), 1391-1400, 2020
622020
Urban land cover classification with missing data modalities using deep convolutional neural networks
M Kampffmeyer, AB Salberg, R Jenssen
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
582018
Semi-automatic mapping of charcoal kilns from airborne laser scanning data using deep learning
ØD Trier, AB Salberg, LH Pilø
CAA2016: Oceans of Data. Proceedings of the 44th Conference on Computer …, 2018
512018
Multi-view self-constructing graph convolutional networks with adaptive class weighting loss for semantic segmentation
Q Liu, MC Kampffmeyer, R Jenssen, AB Salberg
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020
442020
Land cover classification of cloud-contaminated multitemporal high-resolution images
AB Salberg
IEEE Transactions on Geoscience and Remote Sensing 49 (1), 377-387, 2010
422010
Towards accurate age determination of Greenland halibut
OT Albert, M Kvalsund, T Vollen, AB Salberg
Journal of Northwest Atlantic Fishery Science 40, 2008
352008
The 1st agriculture-vision challenge: Methods and results
MT Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
332020
Explaining decisions of deep neural networks used for fish age prediction
A Ordoñez, L Eikvil, AB Salberg, A Harbitz, SM Murray, MC Kampffmeyer
PloS one 15 (6), e0235013, 2020
322020
Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning
AU Waldeland, ØD Trier, AB Salberg
International Journal of Applied Earth Observation and Geoinformation 111 …, 2022
312022
Ultrasonic imaging apparatus for reading and decoding machine-readable matrix symbols
F Melandso, T Baarstad, AB Salberg, T Melandso, E Skoglund
US Patent 8,662,395, 2014
312014
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