ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-3-W10-67-2020 UNMANNED AERIAL VEHICLE IMAGE MATCHING BASED ON IMPROVED RANSAC ALGORITHM AND SURF ALGORITHM Li X. G. 1 Ren C. 1 2 Zhang T. X. 3 Zhu Z. L. 1 Zhang Z. G. 1 College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China Nanning Exploration & Survey Institute, Nanning, China 07 02 2020 XLII-3/W10 67 70 Copyright: © 2020 X. G. Li et al. 2020 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-3-W10/67/2020/isprs-archives-XLII-3-W10-67-2020.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-3-W10/67/2020/isprs-archives-XLII-3-W10-67-2020.pdf

A UAV image matching method based on RANSAC (Random Sample Consensus) algorithm and SURF (speeded up robust features) algorithm is proposed. The SURF algorithm is integrated with fast operation and good rotation invariance, scale invariance and illumination. The brightness is invariant and the robustness is good. The RANSAC algorithm can effectively eliminate the characteristics of mismatched point pairs. The pre-verification experiment and basic verification experiment are added to the RANSAC algorithm, which improves the rejection and running speed of the algorithm. The experimental results show that compared with the SURF algorithm, SIFT (Scale Invariant Feature Transform) algorithm and ORB (Oriented FAST and Rotated BRIEF) algorithm, the proposed algorithm is superior to other algorithms in terms of matching accuracy and matching speed, and the robustness is higher.