基于地面激光雷达点云数据的单木三维重建

3D Reconstruction of a Single Tree from Terrestrial Laser Scanner Data

利用地面激光雷达三维点云数据,在已有的枝干结构重建方法基础上,提出了一种利用点云密度,结合间隙率模型反演的单木总叶面积,在冠层内分体元添加树叶的方法,重建完整的单木三维结构。该方法成功应用于基于光线追踪方法模拟的点云和野外实测点云数据,实现了单木三维结构重构。重建的单木叶面积与真实叶面积相对误差小于0.9%,方向间隙率的相对误差不超过4.0%。实验结果表明:重建单木三维结构与真实结构在目视效果和定量评价两方面都具有较好的一致性。

Terrestrial LiDAR systems have received lots of attention on three-dimensional(3D)structure reconstruction for trees,especially on the branch skeleton generation.On the basis,a method is proposed to add leaves structure based on point density by dividing small cube in the canopy to reduce the influence of uneven distribution of point cloud,and combine gap fraction model to retrieval leaf area of a tree using terrestrial LiDAR data.It is successfully applied to reconstruct 3Dtrees using points simulated data by ray tracing algorithm as well as field measured points data.The relative error of leaf area between reconstructed and real structure is less than 0.9%.Meanwhile,the most relative error of directional gap fraction is also less than 4.0%.The experimental results prove that the method has gotten a satisfied consistency on visual sense and quantitative evaluation between the 3Dstructure reconstructed and real structure.In quantitative remote sensing,the method has lots of application values for simulation of canopy radiative transfer process as well as visualization.