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Automatic Image-to-Image Registration of Middle- and Low-resolution Satellite Images Using Scale-Invariant Feature Transform Technique  

Han, Dong-Yeob (서울대학교 공과대학 지구환경시스템공학부)
Kim, Dae-Sung (서울대학교 공과대학 지구환경시스템공학부)
Lee, Jae-Bin (서울대학교 공과대학 지구환경시스템공학부)
Oh, Jae-Hong (한국전자통신연구원 텔레매틱스.USN연구단 공간정보연구팀)
Kim, Yong-Il (서울대학교 공과대학 지구환경시스템공학부)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.24, no.5, 2006 , pp. 409-416 More about this Journal
Abstract
To use image data obtained from different sensors and different techniques, the preprocessing step that registers them in a common coordinate system is needed. For this purpose, we developed the methodology to register middle- and low-resolution satellite images automatically. Firstly, candidate matching points were extracted using the Harris and Harris-affine algorithm. Secondly, we used the correlation coefficient, normalized correlation coefficient and SIFT algorithm to detect conjugate matching points from candidates. Then, to test the feasibility of approaches, we applied the developed methodology to various kinds of satellite images and compared results. The results clearly demonstrate that the methology using the SIFT is appropriate to register these multi-resolution satellite images automatically, compared with the classical cross-correlation.
Keywords
Scale-Invariant Feature Transform; Automatic Registration; Harris-Affine; Descriptors; Detectors; Correlation Coefficient;
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Times Cited By KSCI : 1  (Citation Analysis)
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