国土资源遥感Issue(1)：62-67,6.DOI:10.6046/gtzyyg.2015.01.10
基于机载LiDAR点云滤波的矿区DEM构建方法
Method of deriving DEM in the mining area based on filtering of airborne LiDAR data
摘要
Abstract
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.关键词
机载LiDAR/DEM构建/区域分割/渐进不规则三角网/数据滤波Key words
airborne LiDAR/DEM construction/region-dependent segmentation/progressive triangulated irregu-lar network/data filtering分类
信息技术与安全科学引用本文复制引用
吴芳,张宗贵,郭兆成,安志宏,于坤,李婷..基于机载LiDAR点云滤波的矿区DEM构建方法[J].国土资源遥感,2015,(1):62-67,6.基金项目
中国地质调查局地质大调查项目“新型传感器矿山地质环境调查”(编号:1212011220083)资助。 （编号:1212011220083）
