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点云数据三维树木模型建立及三维绿量的估算
引用本文:宁亮亮,张晓丽.点云数据三维树木模型建立及三维绿量的估算[J].西北林学院学报,2014,29(6):145-148.
作者姓名:宁亮亮  张晓丽
作者单位:(北京林业大学 林学院,北京 100083)
摘    要:利用三维激光扫描仪所采集的点云数据模拟三维树木模型及利用模型进行三维绿量的估算。探讨了如何采集点云数据以及模型在三维绿量估算中的应用,主要包括点云数据的去噪处理、点云数据的匹配、树木三维模型的建立。结果表明,利用该方法建立树木的三维模型及进行三维绿量的估算取得了较理想的结果,能够满足三维绿量的计算精度。

关 键 词:TLiDAR  点云数据  三维模型  三维绿量

 Establishment of Three-dimensional Tree Models by Using Point Clouds and the Estimation of Living Vegetation Volume
NING Liang-liang,ZHANG Xiao-li. Establishment of Three-dimensional Tree Models by Using Point Clouds and the Estimation of Living Vegetation Volume[J].Journal of Northwest Forestry University,2014,29(6):145-148.
Authors:NING Liang-liang  ZHANG Xiao-li
Institution:(College of Forestry, Beijing Forestry University, Beijing 100083, China)
Abstract:Three-dimensional tree models were built based on point clouds from terrestrial LiDAR and the living vegetation volume was estimated. How to patch the cloud data was discussed, and the application of the model in three-dimensional green quantity estimation was introduced, including cloud data de-noising, point cloud data matching, and tree three-dimensional model building. The results proved that using this method to build three-dimensional structural model and to estimate living vegetation volume was feasible. The accuracy could fully meet the living vegetation volume requirements.
Keywords:TLiDAR  point cloud  3D tree model  living vegetation volume
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