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Wire mesh filtering in 3D image data of rock faces

机译:岩石表面3D图像数据中的丝网过滤

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摘要

The presence of wire mesh partially obscures rock faces imaged using terrestrial laser scanners. The objective of the methodology presented in this paper is to remove the wire mesh from point cloud data, leaving rock face data suitable for joint orientation and surface roughness analysis. Principal Component Analysis (PCA) is first performed to segregate data belonging to the wire mesh from legitimate rock face data. Two iterative filters are then applied. The baseline filter relies on an estimation of the instrument noise and surface roughness. Rockbolt face plates are used to measure the instrument noise in situ. A second derivative filter based on a central finite difference approximation is used to identify the boundary between rock face and wire mesh data. This filtering methodology was successful in removing wire mesh and associated edge effects from point cloud data allowing for joint orientation and surface roughness assessment, the latter of which was found to be more sensitive to the presence of the wire mesh. (C) 2015 Elsevier Ltd. All rights reserved.
机译:丝网的存在部分掩盖了使用地面激光扫描仪成像的岩石面。本文介绍的方法的目的是从点云数据中删除金属丝网,而使岩面数据适合于关节方向和表面粗糙度分析。首先执行主成分分析(PCA),以将属于丝网的数据与合法的岩面数据分开。然后应用两个迭代过滤器。基线滤波器依赖于仪器噪声和表面粗糙度的估计。 Rockbolt面板用于现场测量仪器噪声。基于中心有限差分近似的二阶导数滤波器用于识别岩石面和丝网数据之间的边界。这种过滤方法成功地从点云数据中删除了丝网和相关的边缘效应,从而可以进行关节方向和表面粗糙度评估,发现后者对丝网的存在更为敏感。 (C)2015 Elsevier Ltd.保留所有权利。

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