南京林业大学学报(自然科学版) ›› 2014, Vol. 38 ›› Issue (05): 6-10.doi: 10.3969/j.issn.1000-2006.2014.05.002

• 专题报道 • 上一篇    下一篇

基于地面激光扫描仪的树干削度方程提取

梁子瑜1,孙 圆1*,梁欣廉2,李卫正3,徐建1   

  1. 1.南京林业大学林学院,江苏 南京 210037;
    2.Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, Geodeetinrinne 2, Masala, Fl-02430,Finland;
    3.南京林业大学现代分析测试中心,江苏 南京 210037
  • 出版日期:2014-10-31 发布日期:2014-10-31
  • 基金资助:
    收稿日期:2013-11-26 修回日期:2014-01-29
    基金项目:江苏省留学人员科技活动择优资助项目(013010249); 2014年博士点基金优先发展领域课题(20133204130001); 国家自然科学基金项目(31300472)
    第一作者:梁子瑜,硕士生。*通信作者:孙圆,副教授,博士。E-mail: sunyuan1123@126.com。
    引文格式:梁子瑜,孙圆,梁欣廉,等. 基于地面激光扫描仪的树干削度方程提取[J]. 南京林业大学学报:自然科学版,2014,38(5):6-10.

The extraction of stem taper equation based on terrestrial laser scanning

LIANG Ziyu1,SUN Yuan1*,LIANG Xinlian2,LI Weizheng3,XU Jian1   

  1. 1.College of Forest, Nanjing Forestry University, Nanjing 210037,China;
    2.Department of Remote Sensing and Photogrammetry, Finnish Geodetic Institute, Geodeetinrinne 2, Masala, Fl-02430,Finland;
    3.Advanced Analysis and Testing Center, Nanjing Forestry University, Nanjing 210037,China
  • Online:2014-10-31 Published:2014-10-31

摘要: 应用高精度三维激光扫描仪及点云数字处理技术,建立点云数据与树干削度之间的反演关系,拟合树干削度方程,并以江苏省南方型杨树林分为例,对树干曲线反演,提取了适合该树种生长情况的林分削度方程,同时进行样木的树干解析对拟合方程进行了检验与分析。研究表明,地面激光扫描可以大幅提高地面每木调查的效率,所建立的树干削度方程有较高的估计精度和较好的拟合特性。

Abstract: In this paper, terrestrial laser scanning with digital processing technology of point cloud was used to establish the relationship between taper equation and point cloud data. Meanwhile, taper equation was also fitted. The study obtained the point cloud data of southern poplar forest in Jiangsu province by three-dimensional measurement and extracted the most suitable taper equation by stem curve inversion. Additionally, stem analysis was used to inspect and analyze fitted equation. The study showed that using TLS data could greatly improve the efficiency of the log scaling, achieve high estimation precision and better fitting characteristics. The study not only provided efficient methods and ways for the investigation to estimate the forest harvest, but also had great significance of exploring new remote sensing data sources to the investigation and evaluation of forest resources.

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