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Detection and geometric characterization of rock mass discontinuities using a 3D high-resolution digital outcrop model generated from RPAS imagery - Ormea rock slope, Italy

机译:利用RPAS图像生成的3D高分辨率数字露天模型的岩体质量不连续性的检测和几何特征 - 奥尔米亚岩石坡,意大利

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The use of a remotely piloted aircraft system (RPAS) and digital photogrammetry is valuable for the detection of discontinuities in areas where field mapping and terrestrial photogrammetry or laser scanner surveys cannot be employed because the slope is unsafe, inaccessible, or characterized by a complex geometry with areas not visible from the ground. Using the Structure-from-Motion method, the acquired images can be used to create a 3D texturized digital outcrop model (TDOM) and a detailed point cloud representing the rock outcrop. Discontinuity orientations in a complex rock outcrop in Italy were mapped in the field using a geological compass and by manual and automated techniques using a TDOM and point cloud generated from RPAS imagery. There was a good agreement between the field measurements and manual mapping in the TDOM. Semi automated discontinuity mapping using the point cloud was performed using the DSE, qFacet FM, and qFacet KD-tree methods applied to the same 3D model. Significant discrepancies were found between the semi-automatic and manual methods. In particular, the automatic methods did not adequately detect discontinuities that are perpendicular to the slope face (bedding planes in the case study). These differences in detection of discontinuities can adversely influence the kinematic analysis of potential rock slope failure mechanisms. We use the case study to demonstrate a workflow that can accurately map discontinuities with results comparable to field measurements. The combined use of TDOM and RPAS dramatically increases the discontinuity data because RPAS can supply a good coverage of inaccessible or hidden portions of the slope and TDOM is a powerful representation of the reality that can be used to map discontinuity orientations including those that are oriented perpendicular to the slope.
机译:使用远程驾驶的飞机系统(RPA)和数码摄影测量对于在无法采用现场映射和地面摄影测量或激光扫描仪调查的区域中检测不连续性的价值是有价值的,因为斜率不安全,无法进入或以复杂的几何形式为特征或表征与地面看不到的区域。使用结构从运动方法,所获取的图像可用于创建3D Texturized Digital Outcrop模型(TDD)和表示岩石露头的详细点云。使用从RPAS图像产生的TDOM和点云,使用地质指南针和手动和自动化技术在现场映射意大利复杂岩石露头中的不连续取向。 TDD中的现场测量和手动映射之间存在良好的一致性。使用Point云使用DSE,QFacet FM和QFacet KD-Tree方法进行半自动不连续映射,应用于同一3D模型。半自动和手动方法之间发现了显着的差异。特别地,自动方法没有充分检测垂直于斜面面的不连续性(在案例研究中的床上用品)。这些检测中断的这些差异可能对潜在岩石斜率故障机制的运动学分析产生不利影响。我们使用案例研究来展示可以准确地映射与现场测量相当的不连续性的工作流程。 TDD和RPA的组合使用显着增加了不连续性数据,因为RPA可以提供斜率或隐藏部分的良好覆盖,并且TDOM是可以用于映射包括垂直定向的那些垂直方向的现实的强大表示到斜坡。

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