UNIVERSITY
OF OSLO
Remote Sensing
Monitoring the earth from satellite sensors
High number of spectral bands (>50)
Data fusion
Two tasks are studied:
and
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Spectral feature extraction and dimensionality reduction
classification
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Extraction of variance measures to characterize the shape
of hyperclusters in high-dimensional space.
Landsat TM image of Kjeller
Ancillary data
Classified image
Old map data Weather conditions
Time series of ERS SAR images
Hyperspectral image cube
We work on developing new image classification methods which
combine data from different satellites.
N-dimensional spectral feature space
Application examples:
• How does the arctic ice change?
• Predict the snow melt during the melting season.
• Detect illegal oil spills from ships.
• Determine forest health and deforestation.
• Monitor the risk for forest fires and earthquakes.
DEPARTMENT OF INFORMATICS