28 October 2006 Matching of SAR image based on support vector machine
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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.
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Shaoming Zhang, 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); doi: 10.1117/12.713404; https://doi.org/10.1117/12.713404
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