A similarity approximation algorithm for matching UAV and satellite image

doi:10.13474/j.cnki.11-2246.2023.0266

Abstract

Abstract: The matching accuracy of the current algorithms is not high enough when UAV and satellite images have a large spatial resolution difference. In order to avoid it, a similarity approximation algorithm for matching UAV and satellite images is proposed. The algorithm applies Gaussian filtering to the UAV images before matching, improves the scale similarity between the UAV image and the satellite image, and finally improves the accuracy of the matching algorithm. Experimental results demonstrate it has high matching accuracy and it is suitable for UAV image matching and autonomous positioning when the spatial resolution difference between UAV image and satellite image is large.

Key words: UAV, autonomous positioning, similarity approximation, image matching

CLC Number:

P237

LUO Qingli, ZHANG Shubin, CHEN Xiang, WEI Jujie. A similarity approximation algorithm for matching UAV and satellite image[J]. Bulletin of Surveying and Mapping, 2023, 0(9): 64-69.

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