以河北塞罕坝林场落叶松林地为研究对象,通过选取样地布设水泥桩和反射片,针对森林单木提取精度不高等问题,开展基于激光点云数据的森林单木位置提取方法研究,为森林资源调查的单木定位和数量统计提供参考。通过将采集的森林地面点云数据,采用反射片模式与各个测站点云数据进行配准,提出一种改进的体素空间邻域和RANSAC圆柱拟合方法,分3种不同大小的样地进行单木位置提取实验,结果表明,该方法的单木位置提取效果较好,提取精度均在93%以上。

This paper took the larch forest land of Saihanba Forest Farm in Hebei Province as the research object.Through setting cement piles and reflective sheets in the selected sampling sites,aiming at the low precision of forest single tree extraction,this paper conducted the research on the method of extracting the location of forest single tree based on laser point cloud data,which provided a reference for the location and quantity statistics of single tree in forest resource survey.Through the registration of the collected forest ground point cloud data with the cloud data of each survey site using the reflector model,an improved voxel space neighborhood and RANSAC cylinder fitting method was proposed to extract the single tree position from three different size sample plots.The results showed that the single tree position extraction effect of this method was good,and the extraction accuracy was more than 93%.