A novel SAR image precise-matching method based on SIFT algorithm

被引：0
|
作者：
Yan, Wenwen [1 ]
Li, Bin [1 ]
Yang, Dekun [1 ]
Tian, Jinwen [1 ]
Yu, Qiong
机构：
[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, State Key Lab Multispectral Informat Proc Technol, Wuhan 430074, Peoples R China
来源：
MIPPR 2013: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS | 2013年 / 8921卷
关键词：
SAR image; image matching; BM3D; SIFT; Topologically clustering;
D O I：
10.1117/12.2032027
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
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.
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页数：7
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