无人机贴近摄影测量三维航线规划研究  

Research on three-dimensional route planning of unmanned aerial vehicles close to photogrammetry

作　　者：宋倩 申景贇 SONG Qian;SHEN Jingyun(Jilin Institute of Architecture and Technology,Changchun 130000,China;Changchun Institute of Surveying and Mapping,Changchun 130000,China)

机构地区：[1]吉林建筑科技学院,吉林长春130000 [2]长春市测绘院,吉林长春130000

出　　处：《无线互联科技》2025年第2期116-120,共5页Wireless Internet Science and Technology

基　　金：吉林省教育厅科学研究项目,项目名称:无人机贴近摄影测量三维航线规划研究,项目编号:JJKH20241501KJ;吉林建筑科技学院校级科研项目,项目名称:无人机贴近摄影测量三维航线规划研究,项目编号:校科字[2023]019ZQKJ。

摘　　要：航迹规划算法是无人机关键技术之一,同时也是任务规划系统核心之一。针对固定目标规划问题,文章采用全局搜索和局部搜索飞蛾扑火算法,对无人机贴近摄影测量三维航线规划进行研究。仿真分析表明,全局搜索和局部搜索飞蛾扑火算法规划航迹长度比飞蛾扑火算法缩短21.49%,航迹平滑度降低34.26%,无人机规划航迹的质量显著提升。Trajectory planning algorithm is one of the key technologies for unmanned aerial vehicles and also one of the core components of mission planning systems.For the problem of fixed target planning,the article adopts global search and local search moth flame algorithm to study the three-dimensional route planning of unmanned aerial vehicles close to photogrammetry.Simulation analysis shows that the global search and local search moth flame algorithm reduces the length of the planned trajectory by 21.49%and the smoothness of the trajectory by 34.26%compared to the moth flame algorithm,significantly improving the quality of unmanned aerial vehicle trajectory planning.

关 键 词：飞蛾扑火算法 贴近摄影测量 无人机 三维航线规划 

分 类 号：P231[天文地球—摄影测量与遥感]