Paper
30 October 2009 Water body extraction and change detection based on multi-temporal SAR images
Zhaohui Zhang, Hanqing Lu, Minghua Zhao
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982P (2009) https://doi.org/10.1117/12.834100
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaohui Zhang, Hanqing Lu, and Minghua Zhao "Water body extraction and change detection based on multi-temporal SAR images", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982P (30 October 2009); https://doi.org/10.1117/12.834100
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Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Synthetic aperture radar

Floods

Image filtering

Image fusion

Detection and tracking algorithms

Speckle

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