用安装在无人驾驶飞机系统上的激光雷达成像的岩壁结构图

IF 1.3 Q3 REMOTE SENSING
Connor McAnuff, C. Samson, D. Melanson, C. Polowick, E. Bethell
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引用次数: 2

摘要

确定裂缝方向的岩壁结构图为采矿作业提供了关键的地质信息。一架装有高分辨率激光雷达的直升机式无人机(旋翼直径2米;起飞质量35公斤;有效载荷质量11公斤)对加拿大硅灰石矿75米长、10–15米高的四个相邻岩壁系列进行了成像。选择密度为484点/m2的点云,从地面以上41.7 m的飞行高度以~41.7°的入射角采集,用于结构测绘。首先使用泊松曲面重建方法对点云进行网格划分,然后进行重新划分以实现均匀的元素大小分布。使用360°色调-饱和度-亮度色轮对重新熔化的泊松网格进行可视化,突出了断裂密度较高的区域,而使用180°色轮进行可视化则突出了银条状地质特征。在156/82和241/86处发现了两个节理组(走向/倾角)。总共有18次虚拟走向测量和13次虚拟倾角测量在手动罗盘测量的10%以内。这项研究表明,通过处理安装在无人机上的激光雷达获取的3D图像,可以自动完成大型岩壁的结构测绘任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural mapping of rock walls imaged with a LiDAR mounted on an unmanned aircraft system
Structural mapping of rock walls to determine fracture orientation provides critical geological information in support of mining operations. A helicopter-style UAS (rotor diameter 2 m; take-off mass 35 kg; payload mass 11 kg) instrumented with a high-resolution LiDAR imaged a 75 m long and 10–15 m high series of four adjacent rock walls at the Canadian Wollastonite mine. A point cloud with a density of 484 point/m2 acquired at an angle of incidence of ∼41.7° from a flight altitude of 41.7 m above ground level was selected for structural mapping. The point cloud was first meshed using the Poisson surface reconstruction method and then remeshed to achieve an even element size distribution. Visualization of the remeshed Poisson mesh using a 360° hue–saturation–lightness colour wheel highlighted areas of higher fracture density, whereas visualization using a 180° colour wheel accentuated sliver-like geological features. Two joint sets were identified at 156/82 and 241/86 (strike/dip in degrees). A total of 18 virtual strike measurements and 13 virtual dip measurements were within 10% of manual compass measurements. This study demonstrated that the task of structural mapping of large rock walls can be automated by processing 3D images acquired with a LiDAR mounted on a UAS.
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
2
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