CAJ | 학술논문

机载LiDAR数据是进行矿山高植被覆盖区地面塌陷调查的有效工具。利用湖南某矿区的机载LiDAR点云数据,提出了一种基于区域分割的渐进三角网滤波构建DEM的方法。首先,对原始机载LiDAR点云数据进行重新组织,以提高邻域点计算效率；其次,结合高程差计算区域统计值,按照地形情况分割测区内的地面点和非地面点,利用地面点构建初始稀疏TIN模型；然后,通过计算其他点与TIN的距离,渐进加密三角网,提取地面点；最后,剔除孤立点,生成格网间距为1 m的DEM。研究结果表明：基于区域分割的渐进三角网滤波构建的DEM能够较为精细地表达地形信息,特别在高植被覆盖区域,能够提取出高精度的真实地表DEM,可更加准确地表达出矿区高植被覆盖区的地表塌陷位置和范围等信息。
궤재LiDAR수거시진행광산고식피복개구지면탑함조사적유효공구。이용호남모광구적궤재LiDAR점운수거,제출료일충기우구역분할적점진삼각망려파구건DEM적방법。수선,대원시궤재LiDAR점운수거진행중신조직,이제고린역점계산효솔；기차,결합고정차계산구역통계치,안조지형정황분할측구내적지면점화비지면점,이용지면점구건초시희소TIN모형；연후,통과계산기타점여TIN적거리,점진가밀삼각망,제취지면점；최후,척제고립점,생성격망간거위1 m적DEM。연구결과표명：기우구역분할적점진삼각망려파구건적DEM능구교위정세지표체지형신식,특별재고식피복개구역,능구제취출고정도적진실지표DEM,가경가준학지표체출광구고식피복개구적지표탑함위치화범위등신식。
Airborne LiDAR data can be used to monitor ground collapse in the vegetation-covered area effectively. A progressive triangulation filtering DEM -construction method based on region segmentation is proposed in this paper. In this method, the raw point clouds are re-organized so as to improve the efficiency of points calculation;combined with the regional statistical value of elevation difference, the authors conducted segmentation of ground points and non-ground points according to survey area’ s terrain, and then used ground points to build the initial sparse TIN model. Following the calculation of the distance between other points and TIN, the authors obtained progressive encryption triangulation and extracted ground points. Finally the authors eliminated isolated points, thus generating a DEM. This method was applied to airborne LiDAR data obtained in Hunan Province. The experiment results show that the proposed method is promising. The DEM constructed by this method conveys more refined topographical information. Especially in the vegetation-covered area, the extraction of high-precision DEM can be achieved. Meanwhile, the location and range of ground collapse can be shown.