Application of Singular Value Decomposition to Tie Points Detection in InSAR Block

Jiang  Li-Min; Chen Shu-Xuan; Xiang  Mao-Sheng

doi:10.3724/SP.J.1146.2011.00487

Volume 34 Issue 2

Mar. 2012

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Jiang Li-Min, Chen Shu-Xuan, Xiang Mao-Sheng. Application of Singular Value Decomposition to Tie Points Detection in InSAR Block[J]. Journal of Electronics & Information Technology, 2012, 34(2): 324-332. doi: 10.3724/SP.J.1146.2011.00487

Citation:

Jiang Li-Min, Chen Shu-Xuan, Xiang Mao-Sheng. Application of Singular Value Decomposition to Tie Points Detection in InSAR Block[J]. Journal of Electronics & Information Technology, 2012, 34(2): 324-332. doi: 10.3724/SP.J.1146.2011.00487

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Application of Singular Value Decomposition to Tie Points Detection in InSAR Block

doi: 10.3724/SP.J.1146.2011.00487

Received Date: 2011-05-23
Rev Recd Date: 2011-10-19
Publish Date: 2012-02-19

Abstract

Abstract

A method based on Singular Value Decomposition (SVD) is presented to solve Tie Points (TPs) detection in Interferometric Synthetic Aperture Radar (InSAR) block. The core concept is to construct a corresponding matrix through SVD of the dissimilar distribution matrix which characterizes the dissimilarity distribution of two descriptors attached to each feature point. The method benefits TPs detection based on combining the corresponding matrix with the ratio of the second greatest value to the greatest one. The algorithm has advantages of high speed, simplicity and technical feasibility. The effectiveness of proposed method is validated by experiments on three adjacent synthetic aperture radar image-pairs of different kinds of terrain.
- InSAR block,
- Singular Value Decomposition (SVD),
- Tie Points (TPs) detection,
- Dissimilar distribution,
- Dissimilar metric

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References

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