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Proceedings Paper

Detecting flood change with multitemporal SAR images based on difference images fusion and fuzzy degree of nearness
Author(s): Jinji Li; Licheng Jiao; Xiangrrong Zhang; Biao Hou; Dongdong Yang
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Paper Abstract

In this paper, we present a novel approach for detecting the changed regions caused by flooding events in multi-temporal SAR images. And the proposed method concludes two parts: 1) constructing difference image (DI) by fusion strategy proposed in this paper; 2) producing change-detection map based on FCM and fuzzy degree of nearness. Experimental comparisons on real multi-temporal SAR images indicate that the proposed method can reduce the affection by speckle noise. Meanwhile, the proposed method can accurately detect the interested changed regions.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951H (30 October 2009); doi: 10.1117/12.832764
Show Author Affiliations
Jinji Li, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Xiangrrong Zhang, Xidian Univ. (China)
Biao Hou, Xidian Univ. (China)
Dongdong Yang, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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