摘要
对利用野外树木激光扫描获取的海量点云数据来提取树木几何与拓扑特征并以此来构建树木三维模型的方法进行综述。在总结基于激光点云的树木建模基本原理和步骤的基础上,围绕单树点云数据的分割、树枝骨架的提取与优化、单木模型的表面重建等主要过程,对各种具体实现技术或方法进行分类、分析和评价,最后对生成的树木模型的精度和未来的技术发展趋势进行简要分析。
Three-dimensional vegetation structural information is critical for many ecological studies and applications in forestry. It is a non-trivial job to reconstruct accurate and realistic 3D tree model based on the point cloud data collected from terrestrial laser scanners. Although the point cloud data represent the accurate surface information, due to complex structure of trees and occlusion, the data can be noisy and missing. We review the algorithms to extract geometric and topological information from the unorganized point cloud, and procedure for point cloud segmentation, skeleton extraction from point cloud of tree branches and individual 3D tree model reconstruction. We also compare the existing algorithms and suggest the future direction to efficiently and reliably extract information from LiDAR point cloud.
出处
《林业科学》
EI
CAS
CSCD
北大核心
2013年第4期123-130,共8页
Scientia Silvae Sinicae
基金
国家自然科学基金项目(30972299
41001203)
福建省自然科学基金项目(2010J01203
2011J05108)
欧盟第七框架项目(FP7-PEOPLE-2009-IRSES
No.247608)
关键词
激光扫描仪
激光雷达
点云
树木形态
三维树木建模
信息提取
terrestrial laser scanner
LiDAR
point cloud
tree morphology
tree 3D reconstruction
information extraction
作者简介
陈崇成为通讯作者。
