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An Image Matching Method for Season-changing UAV Aerial Images and Satellite Images
Received date: 2023-05-07
Online published: 2024-12-30
Image matching plays a vital role in UAV visual navigation. There have been many excellent image matching algorithms in this field, but there are few reports on heterogeneous image matching in season-changing. In order to further expand the current research work in this field, an image matching algorithm based on fuzzy information granules is proposed to solve the problem of heterogeneous image matching in season-changing. Firstly, according to the ground resolution of the satellite image and the UAV aerial image, the scaling factor of the UAV aerial image is determined, and then the scale preprocessing of the UAV aerial image is carried out; Secondly, an image matching method is established based on fuzzy information granules, and similarity matching is performed on the extracted edges to obtain the matching position between the UAV aerial image and the satellite image; Finally, validation is performed on winter and summer UAV aerial imagery and satellite imagery datasets. Experimental results show that the algorithm has strong robustness, improves image matching accuracy, and provides a new idea for UAV visual localization.
REN Yan , LIU Shengnan , CHEN Xinyu , HUANG Zhenjia . An Image Matching Method for Season-changing UAV Aerial Images and Satellite Images[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2023 , 43(5) : 16 -24 . DOI: 10.15892/j.cnki.djzdxb.2023.05.003
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