Comparison of quad-polarimetric and dual-polarimetric SAR data capabilities for river ice classification

Helena Łoś , B. Pawłowski , Katarzyna Osińska-Skotak , Joanna Pluto-Kossakowska

Abstract

River 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%.
Author Helena Łoś ZFTSIP
Helena Łoś,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
, B. Pawłowski
B. Pawłowski,,
-
, Katarzyna Osińska-Skotak ZFTSIP
Katarzyna Osińska-Skotak,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
, Joanna Pluto-Kossakowska ZFTSIP
Joanna Pluto-Kossakowska,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
Pages1-4
Publication size in sheets0.5
Book Ouwehand L. (eds.): Proceedings Living Planet Symposium 2016, ESA Bulletin-European Space Agency, 2016, ISBN 978-92-9221-305-3
Internal identifier92/2016
Languageen angielski
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2016_Łoś_Pawłowski_Osińska_Pluto_Comparison_of_quad-polarimetric_92.pdf 762.82 KB
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2016_Oświadczenie_ŁoS_Pawłowski_Osińska_Pluto_comparison_92.pdf 425.51 KB
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Citation count*0 (2018-07-17)
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