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Fast Matching Method for Aerial Image Based on Topological Characteristics

Yi Hu Zhu, Chun Hui Zhao


Image feature extraction and matching is a hot topic in UAV vision navigation. Simulating human visual cognitive process that we see the entire object first and then the parts, Euler-SIFT image matching method is proposed to improve the probability of aerial image matching. In the experiment, we compared the matching time and success rate of SIFT method, Euler vector method and Euler-SIFT method. The results show that our approach performs best in UAV vision navigation application.

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