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基于单站三维激光扫描数据的林木胸径提取方法
引用本文:柯敏,解静,刘昔.基于单站三维激光扫描数据的林木胸径提取方法[J].浙江林业科技,2019(2):87-91.
作者姓名:柯敏  解静  刘昔
作者单位:天津水运工程勘察设计院天津市水运工程测绘技术重点实验室
基金项目:中央级公益性科研院所基本科研业务费专项基金项目(TKS180405)
摘    要:2018年4月以天津市滨海新区海滨大道临港工业区段西侧约1km绿化段为试验区域,通过地面三维激光扫描仪获取单站点云数据,基于最小二乘圆拟合算法,利用LISP语言编制程序对林木胸径值进行自动提取,再通过现场抽测39株‘107杨’Populus×euramericana‘74/76’和65株刺槐Robiniapseudoacacia树对计算结果进行精度统计。结果表明,‘107杨’计算中误差为0.8cm,刺槐计算中误差为0.7cm,整体计算中误差为0.7cm,整体计算中误差<1cm。表明采用最小二乘圆拟合算法对单站点云数据进行胸径计算,效率更高、精度可靠,可应用于实际工程项目中。

关 键 词:三维激光扫描  单站点云数据  胸径测量  最小二乘圆拟合

Extraction Method of DBH based on 3D Laser Scanner of Single Station
KE Min,XIE Jing,LIU Xi.Extraction Method of DBH based on 3D Laser Scanner of Single Station[J].Journal of Zhejiang Forestry Science and Technology,2019(2):87-91.
Authors:KE Min  XIE Jing  LIU Xi
Institution:(Tianjin Survey and Design Institute for Water Transport Engineering,Tianjin Key Laboratory of Surveying &Mapping Technology for Waterway Engineering,Tianjin 300456,China)
Abstract:Experiment was carried out on extraction by 3 D laser scanner of single station in April, 2018 at greening belt about 1 km long in Lingang Industrial Area of Tianjin, and obtained cloud data was programed by LISP language based on the least-square circle fitting algorithm to automatically extract tree DBH. Determination was implemented on DBH of 39 Populus euramericana ‘74/76’ and 65 Robinia pseudoacacia for accuracy estimation. The results showed that root mean square error of P. euramericana ‘74/76’ was 0.8 cm, that of R. pseudoacacia was 0.7 cm, and the overall root mean square error was 0.7 cm.
Keywords:3D laser scanner  point cloud data of single station  DBH measurement  least-square circle fitting
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