自然资源遥感2026，Vol.38Issue(4)：49-55,7.DOI:10.6046/zrzyyg.2025263
基于改进VIKOR算法的无人机测绘选型模型研究
A model for UAV selection based on an improved VIKOR algorithm in the surveying and mapping field
摘要
Abstract
With the development of science and technology,unmanned aerial vehicles(UAVs)have found widespread applications in the surveying and mapping field.However,scientific and objective UAV selection remains challenging against the background of diverse task requirements and a rapid growth in both UAV platforms and payload types.To address this issue,this study developed an improved UAV selection algorithm oriented to surveying and mapping.First,the entropy weight method(EWM)was introduced into a decision-tree framework to enhance the objectivity of indicator weighting,and the VIKOR algorithm was combined to improve the stability of multi-scheme ranking.As a result,an EWM-VIKOR-based hybrid UAV selection model was established.Subsequently,an evaluation indicator system was developed based on typical surveying and mapping requirements.Using this system,comprehensive assessments of multiple mainstream UAV platforms were conducted.Results from practical cases demonstrate that the proposed UAV selection model can effectively distinguish excellent schemes from poor ones,yielding reliable selection outcomes.Therefore,this model is practical and holds great value for widespread applications.关键词
测绘领域/决策树/熵值法/VIKOR/无人机Key words
surveying and mapping field/decision tree/entropy weight method(EWM)/VIKOR algorithm/un-manned aerial vehicle(UAV)分类
信息技术与安全科学引用本文复制引用
彭剑秋,胡云华,师灿旸,刘斌,王万刚,代青明,孙正超,钱雨晨..基于改进VIKOR算法的无人机测绘选型模型研究[J].自然资源遥感,2026,38(4):49-55,7.基金项目
自然资源部第六地形测量队2026年队级科技项目"影像快速修图算法研究及软件研发"(编号:KJ20260201)和西藏自治区科技计划项目"高原矿山危险源风险监测预警及防控"(编号:XZ202601ZY0229)共同资助. （编号:KJ20260201）
