基于机载LiDAR数据获取森林地区DTM新方法
Derivation of Digital Terrain Model from Airborne LiDAR Data in Forestry Area
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摘要: 提出了一种继承式多分辨率体素滤波算法,从机载激光扫描数据中获取森林地区的数字地面模型。该方法将激光点云数据划分为不同分辨率等级的体素,以体素为单位通过与邻域的体素的高程加权均值的比较,剔除植被点,保留地面点,从而获取森林地区的数字地面模型。通过将提出的滤波方法应用于实际采集数据,并与Terrascan的滤波结果进行比较验证该方法的有效性。Abstract: An inherited multiresolution voxel-based filtering algorithm,aiming at deriving the digital terrain model in forestry area,is proposed in this paper.In this new method,the laser scanning data are divided into voxels at different resolutions.by comparing the weighted average height with neighbors,vegetations in voxels are rejected and terrain points are retained to be interpolated into a digital terrain model.This algorithm is proven to be practical by applying it on the actual data and comparison with the filtering results of Terrascan.
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