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作 者:倪培德 Ni Peide(Suzhou Industrial Park Surveying and Mapping Geographic Information Co.,Ltd.)
机构地区:[1]苏州工业园区测绘地理信息有限公司,江苏苏州215027
出 处:《勘察科学技术》2021年第1期32-36,共5页Site Investigation Science and Technology
摘 要:针对滑坡区域地形复杂、滑坡体形状随机和体积难以快速精确获取等问题,该文提出一种基于机载LiDAR点云数据预处理、渐进三角网加密滤波算法,及DEM的滑坡点云提取、点云切片和边缘点排序的滑坡体体积计算方法,并结合多块实测数据进行了计算分析。计算结果表明,该方法能快速准确地得到滑坡体体积大小,进而为滑坡的灾后评估提供了依据。According to the problems of complex terrain, random shape of landslide mass and difficulty in obtaining its volume quickly and accurately, this paper proposes a method for calculating the volume of landslide mass, which bases on airborne LiDAR point cloud data preprocessing, progressive triangulation encryption filtering algorithm, and extraction of landslide point cloud, slicing of point cloud and sorting of edge points based on DEM. Combined with several measured data, the calculation and analysis are carried out. The calculation results show that the method can quickly and accurately get the landslide volume, and then it provides the basis for the post disaster assessment of landslide.
关 键 词:滑坡体体积计算 机载LiDAR点云 渐进三角网滤波 DEM生成
分 类 号:P237[天文地球—摄影测量与遥感] P642.22[天文地球—测绘科学与技术]
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