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A New Image Processing Algorithm for Geological Structure Identification of Rock Slopes Based on Drone-Captured Images

机译：基于无人机捕获图像的岩质边坡地质结构识别新图像处理算法

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摘要

Rock slope failure is a severe phenomenon which may lead to fatalities and injuries in open pit mines and quarries. Many historical cases of rock slope failure show the adverse effects of geological structures on rock slope stability. In this study, a new algorithm based on drone photogrammetry is introduced. First, high resolution images are acquired with a drone to identify geological structures foror a give part of a rock slope. The acquired digital images are then processed in Image J. Next, MATLAB software is used to automatically identify the geological structures and group them according to their geometric properties.;In addition, the rockmass conditions of the selected rock slopes are also evaluated. RocData, software is then used to estimate the strength parameters of the rock slope using Hoek-Brown Failure Criterion. DIPS 7.0 was used to plot identified geological structures on a stereonet and to assess the likelihood of different failure modes. To demonstrate the application of the proposed method, three case studies of rock slopes were presented, one a natural slope, and the other two an open pit and a quarry. The results illustrate that drone-based photogrammetry can provide more information, and more geological structures can be identified than from ground-based photogrammetry. The proposed method is useful for geological structures identification on rock slopes, increasing the slope monitoring accuracy, and improving efficiency and safety.
机译：岩石边坡破坏是一种严重的现象，可能导致露天矿山和采石场的死亡和伤害。许多历史上的岩质边坡破坏案例表明，地质构造对岩质边坡稳定性有不利影响。在这项研究中，介绍了一种基于无人机摄影测量的新算法。首先，用无人驾驶飞机获取高分辨率图像，以识别岩石斜坡的地质结构。采集的数字图像然后在图像J中进行处理。接下来，使用MATLAB软件自动识别地质结构，并根据其几何特性对其进行分组。此外，还对所选岩质边坡的岩体条件进行了评估。然后使用Hoc-Brown破坏准则，使用RocData软件估算岩石边坡的强度参数。 DIPS 7.0用于在立体网上绘制已识别的地质结构，并评估不同破坏模式的可能性。为了说明该方法的应用，提出了三个岩石边坡的案例研究，一个是自然边坡，另一个是露天矿和采石场。结果表明，与基于地面的摄影测量法相比，基于无人机的摄影测量法可以提供更多的信息，并且可以识别更多的地质结构。该方法对岩质边坡地质构造识别，提高边坡监测精度，提高效率和安全性等方面均具有实用价值。

著录项

  • 作者

    Zhao, Haochen.;

  • 作者单位

    Colorado School of Mines.;

  • 授予单位 Colorado School of Mines.;
  • 学科 Mining engineering.;Engineering.
  • 学位 M.S.
  • 年度 2018
  • 页码 130 p.
  • 总页数 130
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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