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Proceedings Paper

Water body extraction and change detection based on multi-temporal SAR images
Author(s): Zhaohui Zhang; Hanqing Lu; Minghua Zhao
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Paper Abstract

This paper proposed an unsupervised change detection method for water body extraction and change detection with multi-temporal SAR images. Firstly, two optimal thresholds are estimated according to the strategy of maximum mutual information, in which computation efficiency is largely improved based on integral image. Secondly, water body extraction is done simultaneously in both input images by optimal thresholds. Finally, by fusing of two segmented results, change detection can be achieved. Experimental results demonstrate the effectiveness of the proposed approach.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982P (30 October 2009); doi: 10.1117/12.834100
Show Author Affiliations
Zhaohui Zhang, Hebei Normal Univ. (China)
Institute of Automation (China)
Hanqing Lu, Institute of Automation (China)
Minghua Zhao, Hebei Normal Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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