Simulation of tree point cloud based on the ray-tracing algorithm and three-dimensional tree model

被引:7
|
作者
Li, Yaxin [1 ]
Wang, Pei [1 ]
Sun, Jingqian [1 ]
Gan, Xiaozheng [1 ]
机构
[1] Beijing Forestry Univ, Coll Sci, Beijing 100083, Peoples R China
关键词
The ray-tracing algorithm; Tree model; Point cloud; Simulation; TLS; BIOMASS; RECONSTRUCTION; DIAMETER;
D O I
10.1016/j.biosystemseng.2020.10.007
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A terrestrial laser scanning (TLS) instrument can scan trees to get three-dimensional (3D) point clouds with detailed tree structures. However, some factors, such as surrounding environment, tree structure, the characteristics and scanning parameters of TLS instrument, can affect the scanning result. Simulation of tree point cloud is an efficient way to avoid and analyse the influence of the above factors. A simulation method was proposed to simulate tree point clouds by using the ray-tracing algorithm and 3D tree models. Thirteen tree models were tested with the proposed simulation method. Ten tree models are from the virtual model library, and other three tree models are constructed from real point cloud data. The accuracy of the simulated results was evaluated by using the absolute value of Hausdorff distances (AVOHD). Although the results showed that leaves and more branches will decrease simulation accuracy, the proposed method is effective and accurate on tree point cloud simulation. (C) 2020 IAgrE. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:259 / 271
页数:13
相关论文
共 50 条
  • [41] Point Cloud Trajectory Planning Based on Octree and K-Dimensional Tree Algorithm
    Qian, Cheng
    Lin, Weiyang
    Chen, Jianhong
    Li, Zhan
    Gao, Huijun
    2016 31ST YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2016, : 213 - 218
  • [42] Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form
    Kurdi, Fayez Tarsha
    Lewandowicz, Elzbieta
    Shan, Jie
    Gharineiat, Zahra
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 3010 - 3022
  • [43] A new method for reducing simulation time based on ray-tracing algorithm
    Liu, Yanmei
    Shi, Dan
    Gao, Yougang
    Wang, Jia
    2012 6TH ASIA-PACIFIC CONFERENCE ON ENVIRONMENTAL ELECTROMAGNETICS (CEEM' 2012), 2012, : 163 - 166
  • [44] The absorption of light by rough metal surfaces -: A three-dimensional ray-tracing analysis
    Bergstrom, D.
    Powell, J.
    Kaplan, A. F. H.
    JOURNAL OF APPLIED PHYSICS, 2008, 103 (10)
  • [45] Three-Dimensional Point Cloud Registration Algorithm Based on l(p) Spatial Mechanics Model
    Zhao Min
    Shu Qin
    Chen Wei
    Yang Yunxiu
    ACTA OPTICA SINICA, 2018, 38 (10)
  • [46] A three-dimensional sound ray tracing algorithm based on wavefront traveltimes interpolation
    Huang, Yueqin
    Zhang, Jianzhong
    Shengxue Xuebao/Acta Acustica, 2008, 33 (01): : 21 - 27
  • [47] Three-Dimensional Particle Cloud Simulation Based on Illumination Model
    Xing, Yumeihui
    Duan, Jin
    Zhu, Yong
    Wang, Hao
    LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, 2017, 10605
  • [48] Raytran: A Monte Carlo ray-tracing model to compute light scattering in three-dimensional heterogeneous media
    Govaerts, YM
    Verstraete, MM
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (02): : 493 - 505
  • [49] Three-dimensional EncCon tree
    Huang, Mao Lin
    Nguyen, Quang Vinh
    Lai, Wei
    Huang, Xiaodi
    COMPUTER GRAPHICS, IMAGING AND VISUALISATION: NEW ADVANCES, 2007, : 429 - +
  • [50] Index model based on top-down greedy splitting R-tree and three-dimensional quadtree for massive point cloud management
    Yu, Anbin
    Mei, Wensheng
    JOURNAL OF APPLIED REMOTE SENSING, 2019, 13 (02)