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Proceedings Paper

A novel SAR image precise-matching method based on SIFT algorithm
Author(s): Wenwen Yan; Bin Li; Dekun Yang; Jinwen Tian; Qiong Yu
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Paper Abstract

As for SAR image, it has a relatively great geometric distortion, and contains a lot of speckle noise. So a lot of research has been done to find a good method for SAR image matching. SIFT (Scale Invariant Feature Transform) has been proved to a good algorithm for the SAR image matching. This operator can dispose of matching problem such as rotation, affine distortion and noise. In this passage, firstly, in the preprocessing process, we use BM3D to denoise the image which can perform well comparing to other denoise method. Then, regardless of traditional SIFT-RANSAC method, SIFT-TC is used to complete image matching. By using this method, the image matching is proved to have better predominance in the matching efficiency, speed and robustness.

Paper Details

Date Published: 26 October 2013
PDF: 7 pages
Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89210U (26 October 2013); doi: 10.1117/12.2032027
Show Author Affiliations
Wenwen Yan, Huazhong Univ. of Science and Technology (China)
Bin Li, Huazhong Univ. of Science and Technology (China)
Dekun Yang, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Qiong Yu, Wuhan Geomatics Institute (China)


Published in SPIE Proceedings Vol. 8921:
MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jinwen Tian; Jie Ma, Editor(s)

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