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《Journal of Electronics & Information Technology》 2008-07
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A SAR Image Change Detection Algorithm Based on Principal Component Analysis

Zhang Hui Wang Jian-guo (College of Electronic Engineering, UESTC, Chengdu 610054, China)  
This paper presents an algorithm about SAR image change detection based on Principal Component Analysis(PCA). This method reshapes the SAR images matrix into vectors, and analyzes the matrix which is composed of the two vectors with PCA process, getting a conclusion that the minor component image is the change portion. This paper also realizes high-effectively the algorithm for SAR image change detection . Finally, compared with the methods based on the Log-Ratio and Multi-Block PCA, it is proved to be valid and effective.
【CateGory Index】: TN957.52
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1 HU Chun-mei1,2, GAO Xin1, PAN Zhuo1,2, LI Jian-xiong1 (1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 2. College of Graduate Student, Chinese Academy of Sciences, Beijing 100039, China);A New Detection Algorithm on Mobile Targets Change in SAR Image[J];Ordnance Industry Automation;2008-08
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