Anne H Schistad Solberg

Image of Anne H Schistad Solberg
Norwegian version of this page
Phone +47 22852435
Mobile phone +47 97044299
Room 4458
Username
Visiting address Gaustadalléen 23B Ole-Johan Dahls hus 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

Academic Interests

My research in image analysis and machine learning covers a broad range of applications: remote sensing, sonar imaging, medical image analysis, seismic image analysis and analysis of petrophysical images. Within remote sensing I have worked with data fusion, SAR image analysis, and hyperspectral image classification for different applications.


More examples of applications are statistical classification of SAR images of land areas and sea ice, oil spill detection in SAR images, speckle filtering of SAR images, texture analysis of SAR images, optical images, seabed classification from sonar data, sandstone images and 3D seismic data, snow classification in multipolarization SAR images, tissue classification in MR images, multisensor classification of optical images, SAR images and GIS-data

I teach the most popular master/phD course on deep learning at UiO, Machine learning for image analysis (INF 5860 - new code 2019: IN 5400)

Teaching

http://www.uio.no/studier/emner/matnat/ifi/INF2310/

http://www.uio.no/studier/emner/matnat/ifi/IN5400/

http://www.uio.no/studier/emner/matnat/ifi/INF5860/

http://www.uio.no/studier/emner/matnat/ifi/IN5400/

Tags: Machine learning, deep learning, convolutional networks, Image analysis, pattern recognition
Published Nov. 4, 2010 2:18 PM - Last modified Nov. 22, 2018 4:14 PM