摘要
机载激光扫描(LiDAR)可以快速获取地球数字表面模型。提出一种适合复杂城市环境的机载激光扫描数据提取树木的算法:首先对LiDAR数据滤波生成DTM,提取地物点;然后对地物点进行区域增长运算,使用面积阈值滤出大的区域;再计算出LiDAR数据点的梯度值,根据梯度阈值分离出树木点;最后结合梯度阈值分割和区域增长分割的结果实现树木点的最终提取。实验结果表明,使用新算法在城区环境中能从LiDAR数据中较好地提取出树木,城区树木提取率达到85.4%,提取正确率为86.1%。
Light Detection and Ranging(LiDAR)can acquire digital surface model quickly.As an important portion of city surface information,the tree is important to the development of 3D digital city.This paper presents a tree extracting algorithm from LiDAR data in complicated urban environment.Firstly,a DTM is generated from LiDAR data,non-ground points are extracted subsequently.Then,the algorithm tempts to remove conspicuous building area,using region-growing algorithm based on area threshold value.As following,the...
出处
《测绘学报》
EI
CSCD
北大核心
2009年第4期330-335,共6页
Acta Geodaetica et Cartographica Sinica
