Rock slope discontinuity extraction from 3D point clouds: Application to an open pit limestone quarry

Warta Geologi Pub Date : 2020-08-31 DOI:10.7186/wg462202011
Syaran Suri, Aisyah Shahirah Juhari, S. Yaacob, N. Anua, H. Zabidi
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Abstract

Discontinuities dominantly play a key role in the mechanical, hydraulic and deformational behavior of rock masses, frequently having a considerable influence on the stability of rock slopes. Thus, it is importance to have a profound knowledge about the discontinuity network in rock engineering. Meanwhile, quarry is a common place for instability of the rock slope happens due to the activities on site such as excavation and blasting. These activities eventually create fractures, faults, and joints. Traditional measuring techniques are prone to human bias and provide only a rough knowledge about the discontinuity network. To increase the reliability of discontinuity models, digital mapping techniques such as Structure from motion (SfM) using data from Unmanned Aerial Vehicle (UAV) and remote sensing, like Close-Range Terrestrial Digital Photogrammetry, were developed. This paper focuses on the plane identification within 3-D point clouds using Discontinuity Set Extractor (DSE) in MATLAB® (The Mathworks Inc.). The 3-D point cloud is generated with the program Agisoft PhotoScan Professional digital photogrammetry software (version 1.1.6) from photos using UAV method. To verify the plane identification with MATLAB® the results were compared with manual mapping. Rosette plot of both methods show the same direction but different in quantity of the discontinuities set. The most dominant direction is N330 ̊ N340 ̊ on NNW-SSE. While, the least dominant discontinuities orientation happens to occur at E-W with the direction of N080 ̊-N090 ̊.
从三维点云提取岩石边坡不连续面:在露天石灰石采石场的应用
不连续面在岩体的力学、水力和变形行为中起着关键作用,经常对岩质边坡的稳定性产生相当大的影响。因此,深入了解结构面网络在岩石工程中具有重要意义。同时,采石场是开挖、爆破等现场活动导致岩质边坡失稳的常见场所。这些活动最终会造成骨折、断层和关节。传统的测量技术容易受到人为偏差的影响,只能提供关于不连续网络的粗略知识。为了提高不连续模型的可靠性,开发了数字制图技术,如使用无人机(UAV)和遥感数据的运动结构(SfM),如近距离地面数字摄影测量。本文重点研究了利用MATLAB®(the Mathworks Inc.)中的不连续集提取器(DSE)在三维点云中的平面识别。使用Agisoft PhotoScan Professional数字摄影测量软件(版本1.1.6)从无人机方法拍摄的照片中生成三维点云。为了验证MATLAB®的平面识别结果,将其与手工映射结果进行了比较。两种方法的莲座图方向相同,但不连续集的数量不同。NNW-SSE方向以N330 ~ N340 ~ N340为主导。而在N080°~ n090°方向上,最不占优势的结构面取向发生在东西向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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