| 注册
首页|期刊导航|森林工程|基于背包式激光雷达数据的单木骨架提取

基于背包式激光雷达数据的单木骨架提取

赵钧坤 邢艳秋 李苑鑫

森林工程2026,Vol.42Issue(1):116-126,11.
森林工程2026,Vol.42Issue(1):116-126,11.DOI:10.7525/j.issn.1006-8023.2026.01.011

基于背包式激光雷达数据的单木骨架提取

Research on Single Tree Skeleton Extraction Based on Data of Backpack LiDAR Scanning

赵钧坤 1邢艳秋 1李苑鑫1

作者信息

  • 1. 东北林业大学 机电工程学院,哈尔滨 150040
  • 折叠

摘要

Abstract

Single-tree skeleton extraction is a critical step in 3D tree modeling,holding significant importance for preci-sion forestry and forest resource management.Backpack LiDAR scanning(BLS),as an emerging mobile measurement technology,offers advantages in flexibility and portability.However,its point cloud data suffers from uneven distribu-tion and noise interference,which affect the accuracy of skeleton extraction.To address these issues,this study focuses on Cunninghamia lanceolata in the State-owned Gaofeng Forest Farm of Guangxi Zhuang Autonomous Region and pro-poses a hierarchical progressive skeleton extraction method based on key path detection using BLS data.This approach integrates geometric constraints and hierarchical analysis to achieve precise localization of branch axes,while employing perpendicular bisector intersection calculations to construct a continuous and topologically complete single-tree skeleton.Terrestrial laser scanning(TLS)data was used as validation data,and preprocessing techniques such as voxel filtering and local elevation normalization are applied to enhance BLS data quality.The results indicate that the proposed method exhibited high performance in branch classification.F1-scores ranged from 0.771 to 0.788,with precision ranging from 93.33%to 100%,and recall ranging from 66.67%to 90.63%.Furthermore,the comparative analysis of branch angle estimations based on BLS and TLS data yields a coefficient of determination(R²)of 0.84 and a root mean square error(RMSE)of 7.22°.This study provides a high-precision technical framework for single-tree 3D modeling,laying a data foundation for forest resource management and ecological simulation.

关键词

骨架提取/枝干分级/分层递进算法/分枝角度/背包式激光雷达

Key words

Skeleton extraction/branch hierarchy classification/hierarchical progressive algorithm/branching angle/backpack LiDAR scanning

分类

农业科技

引用本文复制引用

赵钧坤,邢艳秋,李苑鑫..基于背包式激光雷达数据的单木骨架提取[J].森林工程,2026,42(1):116-126,11.

基金项目

国家重点研发计划项目(2023YFD2201701). (2023YFD2201701)

森林工程

1006-8023

访问量0
|
下载量0
段落导航相关论文