点云数据三维树木模型建立及三维绿量的估算

Establishment of Three-dimensional Tree Models by Using Point Clouds and the Estimation of Living Vegetation Volume

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。

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.