DocumentCode :
2940029
Title :
Water body extraction from multi-source satellite images
Author :
ZhaoHui, Zhang ; Prinet, Veronique ; SongDe, Ma
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Volume :
6
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
3970
Abstract :
This paper introduces an original entropy-based method for water body extraction from multi-source satellite images. The proposed method is remarkably simple and relies only on the assumption that water body in the image is a smooth area. This assumption is most of the time verified in optical and radar images, which makes the approach insensitive to image sensors. Experimental results illustrate the robustness of the proposed approach.
Keywords :
geophysical signal processing; image classification; image sensors; radar imaging; radar signal processing; remote sensing by radar; water resources; entropy-based method; image sensors; multisource satellite images; optical images; radar images; robustness; water body extraction; Data mining; Image sensors; Laser radar; Optical sensors; Radar imaging; Remote sensing; Rivers; Satellite broadcasting; Spaceborne radar; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1295331
Filename :
1295331
Link To Document :
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