Comparison of quad-polarimetric and dual-polarimetric SAR data capabilities for river ice classification
Helena Łoś , B. Pawłowski , Katarzyna Osińska-Skotak , Joanna Pluto-Kossakowska
AbstractRiver ice is one of the largest challenges of flood prevention during the winter. In the last decade, significant progress has been made on river ice research based on Earth observation data, especially with Synthetic Aperture Radar (SAR) systems. In this study, we compare the capabilities of quad-polarimetric and dual-polarimetric RADARSAT-2 data for river ice classification on the Lower Vistula. Dual-polarized datasets are generated by reducing polarization channels in original fully-polarized data. To classify images, we use supervised classification based on a maximumlikelihood algorithm. The results show that even with a reduced number of polarization channels, the classification result still presented satisfactory overall accuracy of above 85%.
|Publication size in sheets||0.5|
|Book||Ouwehand L. (eds.): Proceedings Living Planet Symposium 2016, ESA Bulletin-European Space Agency, 2016, ISBN 978-92-9221-305-3|
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