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Performance evaluation of quad-pol data compare to dual-pol SAR data for river ice classification

Authors :
Helena Łoś
Katarzyna Osińska-Skotak
Joanna Pluto-Kossakowska
Monique Bernier
Yves Gauthier
Bogusław Pawłowski
Source :
European Journal of Remote Sensing, Vol 52, Iss 0, Pp 79-95 (2019)
Publication Year :
2019
Publisher :
Taylor & Francis Group, 2019.

Abstract

Satellite SAR data are a unique source of information about river ice since the microwaves penetrate through clouds as well as snow and ice cover. The influence of the number of polarization channels on the nature and amount of information is, however, not yet fully investigated. The article intends to compare quad-pol and dual-pol data. The studied areas include two rivers with different types of ice cover – the Peace River in Canada and the Vistula River in Poland. We used RADARSAT-2 quad-pol Single Look Complex (SLC) data. The comparison methods include separability analysis (Hellinger distance, Bhattacharyya distance) and Wishart supervised classification. We found that dual-pol and quad-pol data provide equivalent information for homogeneous ice cover (overall classification accuracy above 80% for all polarization modes). Differences were observed in case of complex river ice cover with high diversity of ice types.

Details

Language :
English
ISSN :
22797254 and 30669065
Volume :
52
Issue :
0
Database :
Directory of Open Access Journals
Journal :
European Journal of Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.21431e007a7e43f9be306690658a6702
Document Type :
article
Full Text :
https://doi.org/10.1080/22797254.2018.1540914