Multi-source remote-sensing image matching based on epipolar line and least squares

Peng Chen; Zhihua Mao; Jianyu Chen; Xiaoping Zhang; Zifeng Li

doi:10.1117/12.2030097

17 October 2013 Multi-source remote-sensing image matching based on epipolar line and least squares

Peng Chen, Zhihua Mao, Jianyu Chen, Xiaoping Zhang, Zifeng Li

Proceedings Volume 8892, Image and Signal Processing for Remote Sensing XIX; 88921N (2013) https://doi.org/10.1117/12.2030097
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

In remote sensing image applications, the image matching is a very key technology, its quality directly related to the quality of the subsequent results. This paper studied an improved SIFT features matching method for muili-source remote-sensing image registration based on GPU computing, epipolar line and least squares, its main purpose is to take both accuracy and efficiency into consideration. This method is firstly based on tonal balanced methods matching, and then exracts SIFT features based on the GPU computing technology, and then matchs feature points based on epipolar line and least squares matching method with RANSAC method, finally analies error sources of SIFT mismatch, researchs an improved SIFT mismatch reduce strategy.The experimental results prove that the method can effectively improve the efficiency and precision of SIFT feature matching.

Citation Download Citation

Peng Chen, Zhihua Mao, Jianyu Chen, Xiaoping Zhang, and Zifeng Li "Multi-source remote-sensing image matching based on epipolar line and least squares", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88921N (17 October 2013); https://doi.org/10.1117/12.2030097

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