UAV image target matching algorithm based on SE-Hardnet network
SU Wenbo
FANG Qunzhong
XU Baoshu
ZHANG Chengshuo
Abstract：In order to address the problems in target matching and localization by unmanned aerial vehicles(UAVs),such as the difficulties of feature extraction caused by image rotation variations between UAV images and target reference images and small image sizes from the UAV perspective,a UAV target image matching algorithm combining the candidate region detection and the SE-Hardnet feature extraction network was proposed.The Edge Boxes algorithm was used to detect candidate regions,and the SE-Hardnet network was employed for regional feature extraction,for precise target image matching by comparing feature similarities.Experimental results demonstrate that the proposed algorithm exhibits higher matching accuracy and robustness under the condition of image angle and size variations.In close-range scenarios,the matching accuracy within the image dataset surpasses that of current image matching algorithms by 8%to 11%,providing a feasible and effective solution for UAV target positioning.
Keywords：image matchingcandidate region detectionEdge Boxes algorithmfeature extractionattention mechanismSE-Hardnet networksimilarity metricUAV target localization
Publication Date：2024-09-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 693-701 )