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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, 39(2): 87-91. DOI: 10.3969/j.issn.1001-3776.2019.02.015
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, 39(2): 87-91. DOI: 10.3969/j.issn.1001-3776.2019.02.015
shu
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, 39(2): 87-91. DOI: 10.3969/j.issn.1001-3776.2019.02.015
Citation: 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, 39(2): 87-91. DOI: 10.3969/j.issn.1001-3776.2019.02.015
shu

基于单站三维激光扫描数据的林木胸径提取方法

Extraction Method of DBH based on 3D Laser Scanner of Single Station

    摘要
  • 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1 km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0.8 cm，刺槐计算中误差为0.7 cm，整体计算中误差为0.7 cm，整体计算中误差<1 cm。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。

     

    Abstract: Experiment was carried out on extraction by 3D 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 Populuseuramericana ‘74/76’ and 65 Robiniapseudoacacia 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.

     

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