崔溦, 谢恩发, 张贵科, 李宏璧. 利用无人机技术的高陡边坡孤立危岩体识别[J]. 武汉大学学报 ( 信息科学版), 2021, 46(6): 836-843. DOI: 10.13203/j.whugis20190186
引用本文: 崔溦, 谢恩发, 张贵科, 李宏璧. 利用无人机技术的高陡边坡孤立危岩体识别[J]. 武汉大学学报 ( 信息科学版), 2021, 46(6): 836-843. DOI: 10.13203/j.whugis20190186
CUI Wei, XIE Enfa, ZHANG Guike, LI Hongbi. Identification of Isolated Dangerous Rock Mass in High and Steep Slope Using Unmanned Aerial Vehicle[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6): 836-843. DOI: 10.13203/j.whugis20190186
Citation: CUI Wei, XIE Enfa, ZHANG Guike, LI Hongbi. Identification of Isolated Dangerous Rock Mass in High and Steep Slope Using Unmanned Aerial Vehicle[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6): 836-843. DOI: 10.13203/j.whugis20190186

利用无人机技术的高陡边坡孤立危岩体识别

Identification of Isolated Dangerous Rock Mass in High and Steep Slope Using Unmanned Aerial Vehicle

  • 摘要: 在水利水电工程建设中, 快速、准确、便捷地识别高陡边坡危岩体十分重要。无人机搭载激光雷达可以快速获得大面积高密度的高陡边坡点云数据。首先利用获取的点云数据提取地面点后进行平滑去噪, 通过几何特征提取边缘点云后聚类, 形成待分类的对象; 然后将聚类后的点云进行三维重构, 生成数字高程模型(digital elevation model, DEM), 通过危岩体的空间特征提取孤立危岩体; 最后将该方法应用到两河口水电站枢纽区两岸边坡的孤立危岩体勘测上。结果表明, 无人机搭载激光雷达可以准确、快速获取大面积高陡边坡的空间坐标数据, 进而获取危岩体的空间信息; 基于DEM可得到面积、倾角、最大高差等特征组合, 从而快速有效地提取孤立危岩体。该方法具有比较强的适用性和可靠性, 有助于高陡边坡孤立危岩体的快速识别。

     

    Abstract:
      Objectives  The dangerous rock masses on the high steep slope are easy to lose stability, which threatens the safety of water conservancy projects. Therefore, the rapid, accurate and convenient identification of dangerous rock mass on the high steep slope is significant to the construction of hydropower projects. As a new equipment of surface observation, unmanned aerial vehicle (UAV) can be equipped with laser radar(LiDAR) to obtain high-density and high-precision point cloud data of large areas on high steep slopes.
      Methods  A radar laser scan of the high steep slope near Lianghekou Hydropower station is carried out by using UAV, and three areas are scanned, including one on the left bank and two on the right bank. Firstly, on the basis of the ground points extracted from the point cloud data were decomposed and smoothed, and then the edge points are obtained through geometric features. After that, the point cloud is clustered based on the edge points to form the candidate object. Finally, we generate the digital elevation model, by which we can calculate the spatial feature of the object to extract the dangerous rock mass.
      Results  In the three areas explored in this research, a total of 47 potentially dangerous rock masses are detected. The above identification method is used to detect dangerous rock mass, and 16 dangerous rock masses are found. 5 dangerous rock masses are detected in scanning areas 1 and 2, and 6 dangerous rock masses are detected in scanning area 3.
      Conclusions  UAV equipped with LiDAR can obtain the spatial coordinate data of large area on high steep slope accurately, and thus the spatial information of isolated dangerous rock mass can be obtained.Combined with the area, maximum height difference and volume, dangerous rock mass can be extracted quickly and effectively. Engineering example shows that our proposed method has strong applicability and reliability; and it can be used to quickly identify isolated dangerous rock mass on high steep slope.

     

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