西南林业大学学报2026，Vol.46Issue(5)：156-163,8.DOI:10.11929/j.swfu.202504058
基于面向对象结合泰森多边形的杉木人工林冠幅提取研究
Crown Width Extraction in Cunninghamia lanceolata Plantations Using an Object-Oriented Approach Combined with Thiessen Polygons
摘要
Abstract
This study focused on a Cunninghamia lanceolata(Chinese Fir)plantation within a state-owned forest farm in Shunchang County,Fujian Province.Utilizing multispectral and point cloud data acquired by a DJI Matrice 300 RTK UAV equipped with LiDAR and multispectral sensors,alongside ground-truth survey data,we extracted the Canopy Height Model(CHM)and treetop positions.An object-based approach integrating the Thiessen polygon method was employed to delineate individual tree crowns in stands with high canopy closure,thereby providing an efficient method for crown extraction in a high-canopy-closure C.lanceolata plantation.The results indicated that by constructing the CHM from LiDAR point cloud data and applying a Local Maximum al-gorithm to the combined datasets,a treetop detection accuracy of 95.6％was achieved.The object-based Thiessen polygon segmentation method effectively delineated the crowns of C.lanceolata with an accuracy of 86％.The fusion of LiDAR-derived vertical structure information and multispectral texture features,coupled with Thiessen polygon segmentation,significantly enhanced the accuracy of crown delineation in high-density stands.This methodology provides a reliable technical pathway for dynamic biomass monitoring and carbon sink quantifica-tion in C.lanceolata plantations.关键词
树冠提取/无人机激光点云/面向对象多尺度分割/泰森多边形Key words
crown extraction/UAV LiDAR point cloud/object-based multi-scale segmentation/Thiessen polygon分类
农业科技引用本文复制引用
赖正轩,丘丽萍,蔡志超,张信煌,郑德祥,赖日文..基于面向对象结合泰森多边形的杉木人工林冠幅提取研究[J].西南林业大学学报,2026,46(5):156-163,8.基金项目
国家自然科学基金项目(32572055)资助 （32572055）
福建省自然科学基金项目(KJB24113XA)资助. （KJB24113XA）
