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Proceedings Paper

Matching of SAR image based on support vector machine
Author(s): Shaoming Zhang; Ying Chen
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Paper Abstract

In this paper, a novel method for matching of synthetic aperture radar (SAR) image to optical image is proposed. The theory of support vector machine (SVM) is brief discussed and a new method of edge extraction via SVM for SAR image is presented. 2-D lifting wavelet transform is applied to construct the image pyramid. The multi-subarea strategy is adopted to enhance the reliability matching. Experimental results demonstrate that the method is feasible and could obtain high accuracy.

Paper Details

Date Published: 28 October 2006
PDF: 9 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641924 (28 October 2006); doi: 10.1117/12.713404
Show Author Affiliations
Shaoming Zhang, Tongji Univ. (China)
Ying Chen, Tongji Univ. (China)


Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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