Method of engineering volume monitoring and calculation for open-pit mine from UAV images

被引：7

作者：

Xu Z.-H. ^{[1
]}

Wu L.-X. ^{[2
,3
]}

Chen S.-J. ^{[4
]}

Wang Z. ^{[2
]}

机构：

[1] Academe of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing

[2] School of Resources & Civil Engineering, Northeastern University, Shenyang

[3] School of Environment Science & Spatial Informatics, China University of Mining and Technology, Xuzhou

[4] College of Resources Engineering, Longyan University, Longyan

来源：

Dongbei Daxue Xuebao/Journal of Northeastern University | 2016年 / 37卷 / 01期

关键词：

Engineering volume; Open-pit mine; Patch-based multi-view stereo (PMVS); Structure from motion (SfM); Unmanned aerial vehicle (UAV);

D O I：

10.3969/j.issn.1005-3026.2016.01.018

中图分类号：

学科分类号：

摘要：

The image sequences from an unmanned aerial vehicle (UAV) are used to calculate the engineering volume (overburden amount, stacking amount, etc.) of open-pit mine. Firstly, two sets of video frames or optical images of the open-pit mine are collected with a time interval using a portable digital camera installed on an octocopter. Next, two groups of the point clouds are automatically generated by implementing structure from motion (SfM) and patch-based multi-view stereo (PMVS) algorithms. And then, the two point clouds are fine registered with a constant region-based registration method. Finally, the engineering volume is computed with a differential method for digital terrain model triangulated irregular network (DTM-TIN). It shows that the relative error of the point cloud model is lower than ±1% in the experiment for change detection of a stacking stockpile with UAV images. Moreover, the accuracy for monitoring the volume change is up to 92%, which is comparable to that of a terrestrial laser scanning. © 2016, Editorial Department of Journal of Northeastern University. All right reserved.

引用

页码：84 / 88

页数：4

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