Matching Method of Remote Sensing Images Based on SURF Algorithm and RANSAC Algorithm

This paper proposes a matching method for remote sensing images, which combines the superiorities of the speeded up robust features (SURF) algorithm and the random sample consensus (RANSAC) algorithm. Firstly feature detection and pre-matching of images are done by using SURF algorithm. Secondly, th...

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Published inJisuanji Kexue yu Tansuo / Journal of Computer Science and Frontiers Vol. 6; no. 9; pp. 822 - 828
Main Authors Chen, Yixia, Sun, Quansen, Xu, Huanyu, Geng, Leilei
Format Journal Article
LanguageChinese
Published 01.09.2012
Subjects
Algorithms
Matching
Remote sensing
Settlements
Surf
Transformations
Online AccessGet full text
ISSN1673-9418
DOI10.3778/j.issn.1673-9418.2012.09.006

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Summary:This paper proposes a matching method for remote sensing images, which combines the superiorities of the speeded up robust features (SURF) algorithm and the random sample consensus (RANSAC) algorithm. Firstly feature detection and pre-matching of images are done by using SURF algorithm. Secondly, the mismatching is wiped out by using RANSAC algorithm. This method solves the mismatching problem of image matching. Integrated experiments on feature detection and matching as well as the settlement of transformation matrix show that the proposed method is effective.
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ISSN:1673-9418
DOI:10.3778/j.issn.1673-9418.2012.09.006