Matching of SAR image based on support vector machine

被引：0
|
作者：
Zhang Shaoming [1 ]
Chen Ying [1 ]
机构：
[1] Tongji Univ, Res Ctr Remote Sensing & Space Informat Technol, Shanghai 200092, Peoples R China
来源：
GEOINFORMATICS 2006: REMOTELY SENSED DATA AND INFORMATION | 2006年 / 6419卷
关键词：
synthetic aperture radar; support vector machine; lifting wavelet transform; feature extraction;
D O I：
10.1117/12.713404
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
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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收藏
页数：9
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