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消费级无人机采煤沉陷地地形数据采集飞行方案优选
引用本文:闫皓月,赵艳玲,田帅帅,张建勇,邹玉珠,陈佳乐.消费级无人机采煤沉陷地地形数据采集飞行方案优选[J].中国矿业,2018,27(12).
作者姓名:闫皓月  赵艳玲  田帅帅  张建勇  邹玉珠  陈佳乐
作者单位:中国矿业大学(北京)土地复垦与生态重建研究所,中国矿业大学(北京)土地复垦与生态重建研究所,中国矿业大学(北京)土地复垦与生态重建研究所,中国矿业大学(北京)土地复垦与生态重建研究所,中国矿业大学(北京)土地复垦与生态重建研究所,中国矿业大学(北京)土地复垦与生态重建研究所
摘    要:采煤沉陷地地形数据是损毁评价、土地复垦的基础。本文以山东省邱集煤矿采煤沉陷地为研究区,设计了12种飞行方案,通过分析平面精度、高程精度、时间成本等因素,探究将消费级无人机应用于采煤沉陷地地形数据采集的最佳飞行方案。研究表明:增加控制点的个数和像片重叠度可以有效提高消费级无人机航测影像的精度,但当重叠度增大到一定程度时,精度提高的幅度趋于稳定;12种飞行方案获得地形图的平面精度均满足1∶500的精度要求,高程精度满足1∶1 000的精度要求,其中布设9个像控点、重叠度为9070或9080时高程精度最高;在120m的航高下,布设9个像控点,将重叠度设置为9070时航测摄影像精度最高;当飞行面积较大时,考虑时间成本,重叠度设置为8070性价比较优。

关 键 词:消费级无人机  重叠度  控制点布设  精度
收稿时间:2017/12/1 0:00:00
修稿时间:2018/3/21 0:00:00

Flight Plan Selecting of Topographic Data Acquisition for Mining Subsidence Area Using Consumer-grade Unmanned
YAN Haoyue,ZHAO Yanling,TIAN Shuaishuai,ZHANG Jianyong,ZOU Yuzhu and CHEN Jiale.Flight Plan Selecting of Topographic Data Acquisition for Mining Subsidence Area Using Consumer-grade Unmanned[J].China Mining Magazine,2018,27(12).
Authors:YAN Haoyue  ZHAO Yanling  TIAN Shuaishuai  ZHANG Jianyong  ZOU Yuzhu and CHEN Jiale
Affiliation:Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology Beijing,Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology Beijing,Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology Beijing,Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology Beijing,Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology Beijing,Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology Beijing
Abstract:Topographic data of coal mining subsidence is the basis of damage assessment and land reclamation.Based on the mining subsidence of Qiuji coal mine in Shandong Province, this paper designs 12 kinds of flight plans. By analyzing such factors as plane precision, elevation accuracy and time cost, this paper explores the consumer-grade unmanned aerial vehicle to get topographic data of mining subsidence and chooses an optimal flight plan.The results show that: (1) Increasing the number of control points and overlapping degree of images can effectively improve the accuracy of the aerial image of the consumer-grade unmanned aerial vehicle. However, when the degree of overlap increases to some extent, the magnitude of accuracy improvement tends to be stable.(2) The plane precision of the topographic maps obtained by the 12 kinds of flight plans meets the accuracy requirement of 1: 500. The elevation accuracy meets the precision requirement of 1: 1000. Among them, the layout of 9 image-controlled points and the degree of overlap is set to 9070 or 9080 when the elevation accuracy is highest. (3) Under the altitude of 120m, 9 image-controlled points are laid out, the aerial photography accuracy is the highest when the degree of overlap is set as 9070.When the flight area is larger, consider the time cost, he degree of overlap is set to 8070 cost better.
Keywords:Consumer-grade unmanned aerial vehicle  Overlap degree  Control point layout  Accuracy
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