Matching of SAR image based on support vector machine

Shaoming Zhang; Ying Chen

doi:10.1117/12.713404

28 October 2006 Matching of SAR image based on support vector machine

Shaoming Zhang, Ying Chen

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641924 (2006) https://doi.org/10.1117/12.713404
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

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.

Citation Download Citation

Shaoming Zhang and Ying Chen "Matching of SAR image based on support vector machine", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641924 (28 October 2006); https://doi.org/10.1117/12.713404

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