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作 者:胡守超[1] 常增亮 何其祎 万国平 叶志伟[2] HU Shouchao;CHANG Zengliang;HE Qiyi;WAN Guoping;YE Zhiwei(Shandong Electric Power Engineering Consulting Institute Co.,Ltd.,Jinan 250013,China;Hubei University of Technology,Wuhan 430068,China;Beijing Zhengneng Space Information Technology Co.,Ltd.,Beijing102627,China)
机构地区:[1]山东电力工程咨询院有限公司,山东济南250013 [2]湖北工业大学,湖北武汉430068 [3]北京正能空间信息技术有限公司,北京102627
出 处:《地理空间信息》2025年第2期65-68,共4页Geospatial Information
摘 要:无人机是当前测绘信息采集的重要手段之一,但当前研究中针对传统无人机测绘航线规划的研究较少,针对这一问题,围绕基于地物地貌的航线智能化规划算法进行了研究,提出的算法可以在传统航线的基础上,综合考虑地物和地貌对于航线规划的影响,并对原有航线进行适当的增加或者修改,使其更符合实际作业情况需求,减少补测次数,切实提高数据采集作业效率。通过对多组实际数据的实验结果表明,提出的算法相比于传统的航线规划精度更优,路径规划结果更加细致,航行策略更加合理,明显提高了数据采集效率。Unmanned aerial vehicles(UAV)currently stand as a pivotal means for the acquisition of surveying and mapping information.Howev-er,scant attention has been devoted in contemporary research to the route planning for conventional UAV-based remote sensing cartography.Addressing this problem,we proposed an intelligent route planning algorithm based on terrain morphology.The algorithm advanced herein con-templates the holistic impact of both topography and features on route planning.It introduces refinements to existing routes by judiciously incor-porating or modifying them,thereby aligning more closely with the exigencies of practical operational scenarios.This augmentation,in turn,diminishes the need for subsequent re-surveys,thereby substantially augmenting the efficiency of data acquisition operations.Experimental re-sults derived from multiple sets of empirical data prove that the algorithm proposed in this paper exhibits heightened precision in contrast to traditional route planning methodologies.The resultant path planning manifests greater intricacy,and the navigational strategy adopted is notably more judicious,thereby markedly amplifying the efficacy of data acquisition endeavors.
分 类 号:P231[天文地球—摄影测量与遥感]
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