Model-based classification of polarimetric SAR sea ice data

TitleModel-based classification of polarimetric SAR sea ice data
Publication TypeConference Paper
Year of Publication2002
AuthorsScheuchl, B., I. Hajnsek, and I. G. Cumming
Conference NameGeoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Pagination1521 - 1523 vol.3
Date Publishedjun.
KeywordsArctic Ocean, Beaufort Sea, eigenvector decomposition, geophysical signal processing, image classification, iterative Wishart classifier, measurement technique, model based classification, ocean, oceanographic techniques, radar imaging, radar polarimetry, radar remote sensing, radar signal processing, radar theory, remote sensing by radar, scattering decomposition model, sea ice, synthetic aperture radar

This paper discusses the role of scattering decomposition models in the classification of polarimetric SAR sea ice data. The iterative Wishart classifier was applied to 3-frequency airborne SAR data acquired in the Beaufort Sea, and the scattering models were found to be helpful in interpreting the assigned classes. In addition to using the full data set, reduced data sets based on an eigenvector decomposition were investigated for their potential for classification, as the eigenvectors provided a separation of scattering mechanisms. The surface scattering component was found to be the dominant one for this data set, and yielded a classification similar to the full data set.


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2021 The University of British Columbia