Method of Engineering Volume Monitoring and Calculation for Open-Pit Mine from UAV Images

doi:10.12068/j.issn.1005-3026.2016.01.018

Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (1): 84-88.DOI: 10.12068/j.issn.1005-3026.2016.01.018

• Resources & Civil Engineering • Previous Articles Next Articles

Method of Engineering Volume Monitoring and Calculation for Open-Pit Mine from UAV Images

XU Zhi-hua¹， WU Li-xin^○2,3， CHEN Shao-jie⁴， WANG Zhi²

1. Academe of Disaster Reduction and Emergency Management， Beijing Normal University， Beijing 100875， China; 2. School of Resources & Civil Engineering， Northeastern University， Shenyang 110819， China; 3. School of Environment Science & Spatial Informatics， China University of Mining and Technology， Xuzhou 221116， China; 4. College of Resources Engineering， Longyan University， Longyan 364012， China.

Received:2014-05-06 Revised:2014-05-06 Online:2016-01-15 Published:2016-01-08
Contact: WU Li-xin
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Abstract

Abstract: 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.

Key words: unmanned aerial vehicle (UAV), open-pit mine, structure from motion (SfM), patch-based multi-view stereo (PMVS), engineering volume

CLC Number:

TP79

XU Zhi-hua， WU Li-xin○， CHEN Shao-jie， WANG Zhi. Method of Engineering Volume Monitoring and Calculation for Open-Pit Mine from UAV Images[J]. Journal of Northeastern University Natural Science, 2016, 37(1): 84-88.

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Method of Engineering Volume Monitoring and Calculation for Open-Pit Mine from UAV Images

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