Detecting flood change with multitemporal SAR images based on difference images fusion and fuzzy degree of nearness

Jinji Li; Licheng Jiao; Xiangrrong Zhang; Biao Hou; Dongdong Yang

doi:10.1117/12.832764

30 October 2009 Detecting flood change with multitemporal SAR images based on difference images fusion and fuzzy degree of nearness

Jinji Li, Licheng Jiao, Xiangrrong Zhang, Biao Hou, Dongdong Yang

Author Affiliations +

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951H (2009) https://doi.org/10.1117/12.832764
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Jinji Li, Licheng Jiao, Xiangrrong Zhang, Biao Hou, and Dongdong Yang "Detecting flood change with multitemporal SAR images based on difference images fusion and fuzzy degree of nearness", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951H (30 October 2009); https://doi.org/10.1117/12.832764

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KEYWORDS

Image fusion

Synthetic aperture radar

Fusion energy

Floods

Image analysis

Speckle

Image filtering

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