Ground target localization of unmanned aerial vehicle based on scene matching

• Published in: 高技术通讯（英文版） Vol. 30; no. 3; pp. 231 - 243
• Main Authors: ZHANG Yan, CHEN Yukun, HUANG He, TANG Simi, LI Zhi
• Format: Journal Article
• Language: English
• Published: Beijing Yansou Technology Co.,Ltd.,Beijing 100085,P.R.China%The 15th Research Institute of China Electronics Technology Group Corporation,Beijing 100083,P.R.China 01.09.2024
• Subjects: random sample con-sensus(RANSAC); adjustment; scene matching; feature registration; unmanned aerial vehicle(UAV); basemap
• ISSN: 1006-6748
• DOI: 10.3772/j.issn.1006-6748.2024.03.002

In order to improve target localization precision,accuracy,execution efficiency,and application range of the unmanned aerial vehicle(UAV)based on scene matching,a ground target localization method for unmanned aerial vehicle based on scene matching(GTLUAVSM)is proposed.The sugges-ted approach entails completing scene matching through a feature matching algorithm.Then,multi-sensor registration is optimized by robust estimation based on homologous registration.Finally,basemap generation and model solution are utilized to improve basemap correspondence and accom-plish aerial image positioning.Theoretical evidence and experimental verification demonstrate that GTLUAVSM can improve localization accuracy,speed,and precision while minimizing reliance on task equipment.