中文摘要：

在城区的机载LiDAR点云中一般存在大量打在树木上的点，从点云中提取的树木点可以应用于城区绿化面积和树木参数的估计，以及树木的建模。针对城区环境，本文在综合分析树木点和其他地物空间分布模式的基础上，提出了一种只利用点云的几何性质，结合点云空间分布模式来提取树木点的方法。实验表明，该方法可以取得很高的分类精度，卡帕系数为0．9713。

英文摘要：

A large amount of points are located on trees in urban airborne LiDAR point clouds. Tree points extracted from point clouds could be used for the estimation of green area and tree parameters and also modeling of tree. At present, the research of tree points extracting method is limited. Based on a com- prehensive analysis of spatial distribution pattern of tree points and other objects, a tree point extraction scheme for urban environment was proposed in this paper which only employs geometric metrics and incor- porates spatial distribution pattern of point clouds. Experiments proved that this method could achieve high classification accuracy with Kappa coefficient 0. 9713.