Image matching is one of the key technologies of UAV video surveillance. In order to improve the accuracy and efficiency of image matching with different resolutions and scales, a UAV image fast matching method is proposed. Based on the fast SIFT algorithm, the significant areas of the entire image are extracted from the whole image through histogram calculation, and the feature points are calculated on the significant areas. The feature points in two frames are matched, and the mismatched points are eliminated by parallel line algorithm to improve the SIFT feature matching efficiency. The experimental results show that the proposed method not only reduces the matching time, but also improves the accuracy of image matching while maintaining the image matching rate and the robustness of the algorithm, which proves the effectiveness of image matching.
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