UAV image matching in Karst area using A-AKAZE algorithm

doi:10.13474/j.cnki.11-2246.2020.0180

Abstract

Abstract: The terrain in Karst area is complex, and UAV image matching is difficult and time-consuming. Aiming at how to improve the matching efficiency of UAV images in this area, this paper proposes an improved algorithm based on AKAZE. The algorithm firstly uses the complete affine invariant framework to simulate the original image. Then the AKAZE algorithm is used to extract and describe the feature points of the simulated image, and obtain the feature points and descriptors of the original image. Finally, the original image is matched precisely by using the RANSAC algorithm based on homography matrix, and then eliminated error matching point pairs. In this paper, the improved algorithm is experimentally studied and compared with ASIFT and AKAZE. The experimental results show that, compared with ASIFT algorithm, the total matching time based on A-AKAZE algorithm is about 50% of the total matching time of ASIFT algorithm, and the total matching time can be greatly reduced under the same matching accuracy. Compared with AKAZE algorithm, the total matching logarithm and correct matching logarithm based on A-AKAZE algorithm are at least 7 times of the total matching logarithm and correct matching logarithm of ASIFT algorithm. Considering the matching time-consuming and the correct matching logarithm, this algorithm is better than AKAZE and ASIF, and more suitable for UAV image matching in Karst area.

Key words: A-AKAZE algorithm, image matching, UAV image, AKAZE algorithm, Karst area

CLC Number:

LI Chuang, WANG Xiaohong, HE Zhiwei. UAV image matching in Karst area using A-AKAZE algorithm[J]. Bulletin of Surveying and Mapping, 2020, 0(6): 53-56.

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