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

i10-index

Publications

Co-authors

Contact

Resume

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.