西北林学院学报2024，Vol.39Issue(2)：1-12,12.DOI:10.3969/j.issn.1001-7461.2024.02.01
基于激光点云的橡胶树参数反演与数字孪生构建
Hevea brasiliensis Property Retrieval and Construction of Digital Twin Based on Laser Scanning Data
摘要
Abstract
Accurate tree skeleton reconstruction and growth parameter retrieval from light detection and ranging(LiDAR)data is an essential prerequisite for forest information investigation and phenotypic char-acteristic acquirement.This research proposed an approach of tree skeleton modeling based on skeleton re-finement extraction using computer graphics techniques.First,FocusS350/350 PLUS 3D laser scanner was used to obtain the sample data of three tropical rubber(Hevea brasiliensis)sample plots with different tree ages.Then,as the focus of the advanced modeling,the stem point cloud was separated from the origi-nal tree points.Next,the tree was over-segmented into several point cloud clusters.The adjacent point cloud clusters were used to determine whether there were branches,and the spacing of skeleton points was dynamically determined,that was then applied to the spatial colonization algorithm to generate the three-dimensional skeleton points and the skeleton point connectivity list of the tree,and the generalized cylinder generated the tree trunk to complete the 3D reconstruction of the tree.Finally,the three-dimensional real-scene modeling of the three samples of different tree ages was carried out to reproduce the trees in the same space through time and space to observe the morphological changes of the trees in the growth process more intuitively.The comparisons between the rubber tree diameter obtained from the algorithm and the meas-ured value were as follows:the coefficient of determination R2 was greater than 0.91,and the root mean square error(RMSE)was less than 1.00 cm.The branching angle between the main stem and the first-or-der branch stem was:the coefficient of determination R2 was greater than 0.91,and the root mean square error RMSE was less than 2.93.The diameter of the first-order branch stem was that the coefficient of de-termination R2was greater than 0.90,and the root mean square error RMSE was less than 1.41 cm;The growth parameters of three different ages were calculated together and compared with their measured val-ues,from which it was found that the algorithm was also applicable to calculating various growth parame-ters in uneven-aged forest plots.At the same time,it was found that the diameter of the first branch of H.brasiliensiss was positively correlated with the volume of the corresponding leaf cluster.In this study,the theoretical model of artificial intelligence is applied to the laser point cloud data processing of trees,which can pro-vide a reference for the forest visualization,and intelligent analysis and processing of tree skeleton structure.关键词
地基激光点云/点云簇过分割/空间殖民算法/树木骨架重建/林木参数提取/数字孪生Key words
ground-based laser point cloud/point cloud cluster over-segmentation/space colonization algo-rithm/tree skeleton reconstruction/forest parameter retrieval/digital twin分类
信息技术与安全科学引用本文复制引用
胡云帆,张怀清,安锋,云挺..基于激光点云的橡胶树参数反演与数字孪生构建[J].西北林学院学报,2024,39(2):1-12,12.基金项目
国家自然科学基金(31770591,32071681) （31770591,32071681）
江苏省自然科学基金面上项目(BK20221337) （BK20221337）
江苏省农业自主创新项目(CX(22)3048) （CX(22）
自然资源部国土卫星遥感应用重点实验室开放基金(KLSMNR-G202208). （KLSMNR-G202208）
