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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2014-06-25
Modified RANSAC for Sift-Based InSAR Image Registration
By
Yang Wang,

    Dr. Yang Wang

    School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Haifeng Huang,

    Dr. Haifeng Huang

    Institute of Space Electronics Technology, School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Zhen Dong,

    Dr. Zhen Dong

    The School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Manqing Wu

    Dr. Manqing Wu

    School of Electronic Science and Engineering

    National University of Defense Technology

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 37, 73-82, 2014
doi:10.2528/PIERM14042202 | Google Scholar

Abstract
In this paper, we propose a modified version of the Random Sample Consensus (RANSAC) method for Interferometric Synthetic Aperture Radar (InSAR) image registration based on the Scale-Invariant Feature Transform (SIFT). Because of speckle, the ``maximization of inliers'' criterion in the original RANSAC cannot obtain the optimal results. Since in InSAR image registration, the registration accuracy is in inverse proportion to number of residues. Therefore, we modify the old criterion with a new one --- minimization of residues --- to obtain the optimal results. We tested our method on a variety of real data from different sensors, and the experimental results demonstrated the validity and robustness of the proposed method.
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Citation
Yang Wang, Haifeng Huang, Zhen Dong, and Manqing Wu, "Modified RANSAC for Sift-Based InSAR Image Registration," Progress In Electromagnetics Research M, Vol. 37, 73-82, 2014.
doi:10.2528/PIERM14042202
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