基于旋翼无人机的小型露天矿地形测量

Sungjae Lee, Yosoon Choi
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引用次数: 42

摘要

本研究使用流行的旋翼无人机(UAV, Drone, DJI Phantom2 Vision+)在韩国的一个小型露天石灰石矿山(Daesung MDI seogkyo办事处)进行了地形调查。在100米高度和3米/秒速度条件下进行30分钟的自动飞行,可获得89张航拍照片。经数据处理校正匹配后,从航拍照片中提取X、Y、z坐标的云点共3400万个,生成网格间距为5m的正射影像和数字曲面模型。将差分全球定位系统测得的5个地面控制点的X、Y、z坐标与无人机摄影测量测得的X、Y、z坐标的均方根误差在10cm左右。因此,希望目前流行的旋翼无人机摄影测量作为一种能够替代或补充现有地形测量设备的技术,能够有效地应用于小型露天矿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topographic Survey at Small-scale Open-pit Mines using a Popular Rotary-wing Unmanned Aerial Vehicle (Drone)
This study carried out a topographic survey at a small-scale open-pit limestone mine in Korea (the Daesung MDI Seoggyo office) using a popular rotary-wing unmanned aerial vehicle (UAV, Drone, DJI Phantom2 Vision+). 89 sheets of aerial photos could be obtained as a result of performing an automatic flight for 30 minutes under conditions of 100m altitude and 3m/s speed. A total of 34 million cloud points with X, Y, Z-coordinates was extracted from the aerial photos after data processing for correction and matching, then an orthomosaic image and digital surface model with 5m grid spacing could be generated. A comparison of the X, Y, Z-coordinates of 5 ground control points measured by differential global positioning system and those determined by UAV photogrammetry revealed that the root mean squared errors of X, Y, Z-coordinates were around 10cm. Therefore, it is expected that the popular rotary-wing UAV photogrammetry can be effectively utilized in small-scale open-pit mines as a technology that is able to replace or supplement existing topographic surveying equipments.
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