SAR Image Change Detection Algorithm Based on Principal Component Analysis

Zhang Hui; Wang Jian-guo

doi:10.3724/SP.J.1146.2006.01997

Volume 30 Issue 7

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(7): 1727-1730

Zhang Hui, Wang Jian-guo. SAR Image Change Detection Algorithm Based on Principal Component Analysis[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1727-1730. doi: 10.3724/SP.J.1146.2006.01997

Citation:

Zhang Hui, Wang Jian-guo. SAR Image Change Detection Algorithm Based on Principal Component Analysis[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1727-1730. doi: 10.3724/SP.J.1146.2006.01997

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SAR Image Change Detection Algorithm Based on Principal Component Analysis

doi: 10.3724/SP.J.1146.2006.01997

Received Date: 2006-12-18
Rev Recd Date: 2007-06-25
Publish Date: 2008-07-19

Abstract

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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References(1)

References

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