基于LiDAR点云的城市地区植被提取算法研究

LiDAR aased vegetation detection in city areas

为提出一种快速、高效的城区植被提取方法,在利用首、尾2次回波数据分别生成DSM,将2个DSM做差获取差异模型FLDM,设定高差阈值获取植被候选区域的基础上;利用梯度阈值滤除建筑物边界等细长结构线,并去除较小面积区域,最终获取植被激光脚点.该方法简单实用,易于操作,具有广泛的应用价值.

A simple method for vegetation detection in city areas was proposed. In a first step, a first-last-echo difference model （FLDM） is calculated by subtracting the last reflection （lowest elevation） from the first reflection with the highest elevation. Set height difference threshold, and derive potential vegetation areas. In the second step, the difference model is further enhanced by applying a gradient filter for removing long thin structures representing building edges and small areas. Then remain points are labeled vegetation. The method is efficient and easy to work, with potential value in application.