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林业资源管理 ›› 2014›› Issue (3): 126-133.doi: 10.13466/j.cnki.lyzygl.2014.03.028

• 技术应用 • 上一篇    下一篇

基于地面激光扫描林分调查技术的标定

梁子瑜1,2, 孙圆1, 李卫正3   

  1. 1.南京林业大学 森林资源与环境学院,南京 210037;
    2.江苏省测绘工程院空间信息技术研究中心,南京 210013;
    3.南京林业大学 现代分析测试中心,南京 210037
  • 收稿日期:2014-04-14 修回日期:2014-06-17 出版日期:2014-06-28 发布日期:2020-12-09
  • 通讯作者: 孙圆(1976-),女,北京人,副教授,博士,主要研究方向为森林评价与可持续经营。Email:sunyuan1123@126.com
  • 作者简介:梁子瑜(1990-),女,江苏南京人,在读硕士,主要研究方向为遥感与地理信息系统。Email:cyndia321@hotmail.com
  • 基金资助:
    2014年博士点优先发展领域基金(20133204130001);江苏省留学人员科技活动择优资助经费(013010249);国家自然科学基金(31300472)

The Calibration of Terrestrial Laser Scanning for Forest Inventory

LIANG Ziyu1,2, SUN Yuan1, LI Weizheng3   

  1. 1. College of Forest Resources and Environment,Nanjing Forestry University,Nanjing 210037,China;
    2. Spatial Information Technology Research Center,Jiangsu Provincial Institute of Surveying and Mapping Engineering,Nanjing 210013,China;
    3. Advanced Analysis and Testing Center,Nanjing Forestry University,Nanjing 210037,China
  • Received:2014-04-14 Revised:2014-06-17 Online:2014-06-28 Published:2020-12-09

摘要: 模拟野外实地林分调查场景,设置3种不同的样地大小和扫描精度,应用地面激光扫描(TLS)获取扫描的点云数据,通过最小二乘法对切片上的点云进行圆的拟合,提取特定高度处的上部直径。结果表明,在中精度扫描、10m半径样地时,使用点云提取的上部直径估计值精度最高。该研究旨在保证数据精度的前提下减少扫描的时间和成本,制定使用TLS技术进行林分调查时的参考标准,充分发挥该技术在森林资源调查中的优势。

关键词: 地面激光扫描, 点云, 林分调查, 标定

Abstract: The study establishes a simulated scenario of forest inventory in plots by using three different sizes of the sample plots and scanning resolution.Point cloud data are acquired by terrestrial laser scanning,and the data are processed by least square method to fit a circle.The diameter of the fitted circle is the top diameter at the specific height.The results show that the accuracy of the estimation of top diameter is highest when the radius of the sample plot is 10m and the scanning resolution is middle.The research aims at setting a reference calibration of forest inventory using TLS,achieving high accuracy and low operational and time cost,taking full advantage of TLS in forest inventory.

Key words: terrestrial laser scanning(TLS), point cloud, forest inventory, calibration

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