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Chen P.,Wuhan University | Mao Z.,State Key Laboratory of Satellite Ocean Environment Dynamics SOED | Chen J.,State Key Laboratory of Satellite Ocean Environment Dynamics SOED | Zhang X.,Wuhan University | Li Z.,Wuhan University
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

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. © 2013 SPIE. Source

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