Arnt Salberg
Scholar

Arnt Salberg

Google Scholar ID: SABRpmgAAAAJ
Chief research scientist at Norwegian Computing Center
deep learningremote sensingcomputer vision
Citations & Impact
All-time
Citations
2,139
 
H-index
20
 
i10-index
40
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
  • NGVEO - European Space Agency (2018): Automatic analysis of Sentinel-data using deep learning techniques.
  • COGMAR - Research Council of Norway (2017-2022): Automatic analysis of marine data using deep learning techniques.
  • AIRQUIP - Research Council of Norway (2017-2019): Automatic detection and counting of vehicles in VHR satellite images using deep learning techniques.
  • DELI - Statoil (2017): Automatic analysis of seismic data using deep learning.
  • FLOOD SERVICES - Norwegian Space Centre / COPERNICUS (2016-2018): Automatic detection and mapping of floods in SAR satellite images.
  • SNOWBALL - EEA Grants (2015-2017): Automatic detection and mapping of avalanches in optical and SAR satellite images.
  • UAVSEAL - Research Council of Norway (2014-2016): Automatic detection and counting of seal pups using deep learning.
  • LASTRAK - Kartverket (2015-2016): Automatic detection of forest roads from lidar data using deep learning.
  • CULTSEARCHER - Riksantikvaren: Automatic detection of cultural heritages from lidar data using deep learning techniques.
  • GLOBOILRISK - Kongsberg Satellite Services (2014-2016): Automatic detection of marine oil spills in SAR satellite images.
  • SENTINEL4NATURE - Norwegian Space Centre / PRODEX (2015-2017): Automatic mapping of environmental gradients important for Nature Types in Norway using multi-sensor satellite data.
Background
  • My research interests are related to machine learning, deep learning, pattern recognition, statistics and signal and image processing within remote sensing and computer vision.
Co-authors
0 total
Co-authors: 0 (list not available)