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遥感技术与应用  2019, Vol. 34 Issue (2): 243-252    DOI: 10.11873/j.issn.1004-0323.2019.2.0243
LiDAR专栏     
基于地面激光雷达点云数据的森林树高、胸径自动提取与三维重建
骆钰波,黄洪宇,唐丽玉,陈崇成,张浩
(福州大学空间数据挖掘与信息共享教育部重点实验室,地理空间信息技术国家地方联合工程研究中心,福建 福州 350108)
Tree Height and Diameter Extraction with 3D Reconstruction in a Forest based on TLS
 Luo Yubo,Huang Hongyu,Tang Liyu,Chen Chongcheng,Zhang Hao
 (1.Key Laboratory of Spatial Mining and Information Sharing of Ministry of Education,Spatial Information Research Centre of Fujian,Fuzhou University,Fuzhou 350108,China)
 
 全文: PDF(8890 KB)  
摘要: 针对亚热带环境条件下森林树高、胸径自动化提取精度较低、单木形态模拟较为困难的问题,提出基于地面激光雷达点云数据提取森林树高、胸径及重建森林场景三维模型的方法。首先采用变尺度地面点识别法获取地面点并构建DEM。然后根据树木主干点云主方向相似度及轴向分布密度分割主干与其他植物器官点云。接着以主干点云为基础,采用迭代最小二乘拟合圆柱的方法自动提取树木位置、胸径;构建点云的八叉树结构,利用体素的空间邻接性实现点云分割,自动提取树高。最后,结合单株植物建模技术,以树根节点为纽带构建样地尺度上的森林场景三维模型。实验结果显示,胸径估测R2为0.996,平均相对误差为2.09%,RMSE为0.66 cm;树高估测R2为0.972,平均相对误差为2.16%,RMSE为0.92 m;所重建的森林场景三维模型可表达森林样地的真实形态。
关键词: 地面激光雷达树高胸径点云分割三维重建    
Abstract: In view of the low accuracy of Tree Height(TH) and Diameter at Breast Height(DBH) estimation,as well as the difficulty of individual tree modeling in dense forest,a method to extract forest structure parameters(TH and DBH) and reconstruct a Three-Dimensional(3D) model of forest in subtropical environment based on TLS point cloud data is proposed.The first step is to apply a multi-scale method to extract the ground points for the generation of Digital Elevation Model(DEM).Secondly,using similarity of principal direction between neighboring points and distribution density of points,trunk and other plant organs are separated.Next the trunk points are processed to automatically estimate the tree position and DBH by iterative least squares cylinder fitting;the tree height is automatically estimated by using the octree segmentation.Finally,by combining with the technology of individual tree modeling,a plot-scale 3D forest scene has been reconstructed by planting individual tree model on the terrain model iteratively.The results showed that the correlation coefficient of DBH is R2=0.996,and the average relative error was 2.09%,RMSE was 0.66 cm;the correlation coefficient of tree height is R2=0.972,and the average relative error was 2.16% with RMSE of 0.92 m.The plot-scale reconstructed 3D model of the forest can express the true shape of forest.
Key words: Terrestrial laser scanner    Tree height    Diameter at Breast Height(DBH)    Point cloud segmentation    3D reconstruction
收稿日期: 2018-09-15 出版日期: 2019-05-10
ZTFLH:  TN958.58  
基金资助:  国家自然科学基金项目(41471334),福建省科技引导性项目(2016Y0058)。
作者简介: 骆钰波(1994-),男,浙江绍兴人,硕士研究生,主要从事地学可视化与虚拟地理环境研究。Email:hb1060886527@163.com。
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引用本文:

骆钰波, 黄洪宇, 唐丽玉, 陈崇成, 张浩. 基于地面激光雷达点云数据的森林树高、胸径自动提取与三维重建[J]. 遥感技术与应用, 2019, 34(2): 243-252.

Luo Yubo, Huang Hongyu, Tang Liyu, Chen Chongcheng, Zhang Hao. Tree Height and Diameter Extraction with 3D Reconstruction in a Forest based on TLS. Remote Sensing Technology and Application, 2019, 34(2): 243-252.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.2.0243        http://www.rsta.ac.cn/CN/Y2019/V34/I2/243

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