(PDF) A Multi-Scale Method for 3D Individual Tree ... - ResearchGate
网页2021年1月1日 · Here, we introduce a methodology to decompose lidar point cloud data into 3D clusters corresponding to individual tree crowns (ITC) that enables the estimation of many biophysical variables of...
网页其中单木结构参数信息，例如单木位置、树高、冠幅等， 对于树木生长研究、森林资源调查等具有重要意义。 相比于摄影测量的方式，激光雷达 ...
一种基于UAV-LiDAR点云的多尺度单木分割 - 汉斯出版社
网页关键词: 单木分割； LiDAR； UAV； 多尺度； Individual Tree Extraction； LiDAR； UAV； Multi-Scale. 摘要: 小型UAV-LiDAR (Unmanned Aerial Vehicle-Light Detecting and Ranging)可以快速获取林区三维数据，已经被广泛运用于林业调查。. 并且通过单木分割可以在激光点云中快速获取单株植被 ...
A topology-based approach to individual tree segmentation
网页2023年1月28日 · One segmentation aims at identifying single trees focusing on treetops. The second segmentation identifies single trees based on their lower parts (i.e., tree trunk). Individual trees produced as output are composed of trees identified either based on their top or bottom parts by the two distinct segmentations.
TreeLearn：一种从森林点云分割单棵树的综合深度学习方法
网页2023年9月15日 · 为了考虑单棵树，需要将森林点云分割成单独的树点云。 现有的分割方法通常基于手工算法，例如识别树干并从中生长树木，并且在树冠重叠的茂密森林中面临困难。
机载激光雷达人工林单木分割方法比较和精度分析
网页2018年1月23日 · The accuracy of individual tree segmentation of planted forest by three methods is fully evaluated and compared with many types of plots. The sensitivities of the three methods were analyzed, and the optimal choice of key parameters during individual tree segmentation was described.
一种基于图割的机载LiDAR单木识别方法 - UCAS
网页A new method, which considers the vertical stratification of forest canopy,is proposed in this study to detect individual tree with high accuracy using airborne LiDAR data. First, several data preprocessing steps are conducted, including noise removal, point cloud filtering, and elevation normalization.
森林结构复杂度对单木分割精度的影响——以田横岛为例
网页结果表明: (1)随机森林算法结合单木二维、三维特征可有效对混交林树木进行分类,模型总体的精度为94.51%,Kappa系数为0.9038; (2)聚类算法对结构简单的林区具有更高的分割精度 (F =96.41),但依赖于分割参数的选取;面对复杂单木集群,分水岭算法总体得分波动最小 (ΔF =14 ...
基于地面激光点云数据的单木三维重建方法 - njfu.edu.cn
网页摘要： 目的 使用地面三维点云数据,提出一种单株树木三维网格模型重建方法,为精准获取测树因子提供技术支撑。 方法 对获取的点云进行预处理,使用k-d树构建近邻关系图,用Dijkstra算法求算出子图的根。检测出有效路径后,使用探测半径计算关键路径。
基于机载LiDAR点云多层聚类的单木信息提取及其精度评价
网页2021年1月9日 · Method: In this study, we proposed an algorithm for the detection and delineation of individual trees in heterogeneous and dense forests based on multi-slice clustering by using low density point cloud data, and the procedures for slicing, detection, segmentation and matching were also improved.