LiDAR点云的处理方法优化及其在矿区沉陷监测中的应用  

Optimization of Treatment Method for LiDAR Point Cloud and Application in Monitoring Subsidence in Mining Area

作　　者：苗彦平 李继业 陈小绳 陈秋计[2] 侯恩科[3] 路波 MIAO Yan-ping;LI Ji-ye;CHEN Xiao-sheng;CHEN Qiu-ji;HOU En-ke;LU Bo(Shenmu Hongliulin Mining Co.,Ltd.,Shaanxi Coal and Chemical Industry Group,Shenmu 719316,China;College of Geomatics,Xi'an University of Science and Technology,Xi'an 710054,China;College of Geology and Environment,Xi'an University of Science and Technology,Xi'an 710054,China)

机构地区：[1]陕煤集团神木红柳林矿业有限公司,陕西神木719316 [2]西安科技大学测绘科学与技术学院,西安710054 [3]西安科技大学地质与环境学院,西安710054

出　　处：《煤炭技术》2021年第10期116-119,共4页Coal Technology

基　　金：陕北煤矿区水资源保护与利用及生态重建关键技术研究与示范(2018SMHKJ-A-J-03)。

摘　　要：矿产资源地下开采会引起地面下沉,不仅破坏地表形态,还会影响植被生长,导致生态环境恶化。因此,快速、及时、准确地获取矿区沉陷信息,是煤矿安全生产和矿区环境综合治理的重要依据。利用无人机LiDAR获取沉陷区不同地貌类型区的点云数据,采用渐进加密三角网法进行点云滤波。经过调试,找出了适合相应地貌类型的滤波参数。对获得的地面点采用3种常用插值方法生成DEM,结合地面检测点进行精度对比,分析产生误差的原因,最终选择较高精度的插值方法分析矿区开采沉陷。Underground mining will result in surface subsidence, which will not only destroy the surface morphology, but also affect the growth of overlying vegetation, leading to the deterioration of the ecological environment. Therefore, quick, timely and accurate acquisition of mining area subsidence information is an important basis for safety production and comprehensive management of the mining area environment. The point cloud of airborne LiDAR is used as the data source to carry out the progressive encryption triangulation filtering algorithm for two different terrains in the mining subsidence area. After debugging the parameter thresholds, the filter parameters suitable for the corresponding landform type are found. Three common interpolation methods are used to generate DEM for the obtained ground points, and the accuracy of the ground detection points are compared to analyze the reasons for the errors. Finally, a high-precision interpolation method is selected to analyze mining subsidence.

关 键 词：UAV LiDAR 插值方法 沉陷DEM 精度评估 

分 类 号：TD323[矿业工程—矿井建设] P237[天文地球—摄影测量与遥感]