An improved algorithm of UAV image mosaic gross error elimination

doi:10.13474/j.cnki.11-2246.2021.0039

Abstract

Abstract: High-resolution image can be obtained by UAV technology. In order to obtain the high-precision transformation matrix and improve the efficiency of image matching, this paper improves the RANSAC algorithm and adds the gray information of the image to constrain, which further eliminates the coarse error of matching. Finally, it uses the mean square root error to evaluate the quality. In order to verify the reliability of the algorithm, a group of mountain images and a group of building images with rotation angle are selected to verify. The results show that the rejection rate of matching points coarse error is increased by 15.15% and 23.22%, respectively. The mean square root error of the new algorithm is small and the accuracy is significantly improved.

Key words: UAV, transformation matrix, image matching, RANSAC algorithm, gray information, mean square root error

CLC Number:

P237

XI Wenfei, ZHAO Zilong, WANG Shaojun, SHEN Zhijian, LI Shuai. An improved algorithm of UAV image mosaic gross error elimination[J]. Bulletin of Surveying and Mapping, 2021, 0(2): 36-39.

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