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SAR Image Change Detection Algorithm Based on Principal Component Analysis |
Zhang Hui; Wang Jian-guo |
College of Electronic Engineering, UESTC, Chengdu 610054, China |
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Abstract 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.
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Received: 18 December 2006
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