基于车载LiDAR的行道树胸径和株距测量

张卫正; 刘晓燕; 王国飞; 张焕龙; 张伟伟; 陈启强; 董寿银

doi:10.3969/j.issn.2096-1553.2017.3.013

CN 41-1437/TS ISSN 2096-1553

基于车载LiDAR的行道树胸径和株距测量

张卫正 , 刘晓燕 , 王国飞 , 张焕龙 , 张伟伟 , 陈启强 , 董寿银

张卫正, 刘晓燕, 王国飞, 等. 基于车载LiDAR的行道树胸径和株距测量[J]. 轻工学报, 2017, 32(3): 78-84. doi: 10.3969/j.issn.2096-1553.2017.3.013

引用本文: 张卫正, 刘晓燕, 王国飞, 等. 基于车载LiDAR的行道树胸径和株距测量[J]. 轻工学报, 2017, 32(3): 78-84. doi: 10.3969/j.issn.2096-1553.2017.3.013

ZHANG Wei-zheng, LIU Xiao-yan, WANG Guo-fei, et al. Measurement of DBH and row spacing of street trees based on mobile LiDAR[J]. Journal of Light Industry, 2017, 32(3): 78-84. doi: 10.3969/j.issn.2096-1553.2017.3.013

Citation: ZHANG Wei-zheng, LIU Xiao-yan, WANG Guo-fei, et al. Measurement of DBH and row spacing of street trees based on mobile LiDAR[J]. Journal of Light Industry, 2017, 32(3): 78-84. doi: 10.3969/j.issn.2096-1553.2017.3.013

基于车载LiDAR的行道树胸径和株距测量

郑州轻工业学院计算机与通信工程学院, 河南郑州 450001;
中国船舶重工集团公司第七一三研究所, 河南郑州 450000;
星际空间(天津)科技发展有限公司航测事业部, 天津 300384;
郑州轻工业学院电气信息工程学院, 河南郑州 450002;
浙江省第二测绘院航测与遥感三分院, 浙江杭州 310012
基金项目: 国家自然科学基金项目（61403349，61503173）；郑州轻工业学院博士科研基金项目（JSJ20170017）；郑州轻工业学院2017年大学生科技活动项目
中图分类号: TN959.4;S758.4

Measurement of DBH and row spacing of street trees based on mobile LiDAR

College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China;
Seventh Thirteen Institute of China Shipbuilding Industry Corporation, Zhengzhou 450000, China;
Department of Aerial Division, Tianjin StarGIS Engineering Co., Ltd., Tianjin 300384, China;
College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China;
Third Branch of Aerial Survey and Remote Sensing, The Second Surveying and Mapping Institute of Zhejiang Province, Hangzhou 310012, China
Received Date: 2016-09-29
Available Online: 2017-05-15
CLC number: TN959.4;S758.4

摘要: 采用车载LiDAR获取点云，根据分层投影算法结合地物特征等先验知识实现各单株行道树点云的提取，通过最小二乘法拟合圆，运用Matlab编程测量行道树胸径和株距.实验结果表明，该方法与人工测量两种测量方法测得的行道树胸径和相邻行道树的间距的均方根误差分别为0.008 7 m和0.010 3 m，相关系数分别为0.968 2和0.999 6.该方法精度高、测量范围大，可为检测行道树分布和生长状态提供优质数据.
- 车载LiDAR /
- 行道树 /
- 胸径 /
- 株距 /
- 测量与计量
Abstract: Points cloud of street trees were obtained by vehicle LiDAR.The existing hierarchical projection algorithm was combined with heuristic knowledge of object characteristics to achieve the points cloud extraction of each tree.Fitting circle by least squares,the diameter at breast height(DBH) and row spacing of street trees were measured by Matlab programming.The experimental results showed that the root mean square(RMS) error of DBH and row spacing of LiDAR-based measurement and manual measurement were 0.008 7 m and 0.010 3 m,the correlation coefficients were 0.968 2 and 0.999 6.The proposed method had high precision and wide measuring range and provided quality data for the detection of distribution and growth state of street trees.
- mobile LiDAR /
- street trees /
- diameter at breast height (DBH) /
- row spacing /
- measurement and metrology
1. [1]
  史晓丽.北京市行道树固碳释氧滞尘效益的初步研究[D].北京:北京林业大学,2010.
2. [2]
  商洪池,洪金祥.浅析盐碱地的治理及其园林绿化的方法[J].园林科技,2003(2):24.
3. [3]
  胡长龙.城市道路绿化[M].北京:化学工业出版社,2010.
4. [4]
  滨谊.城市道路景观规划设计[M].南京:东南大学出版社,2002.
5. [5]
  CHEN Q,GONG P,BALDOCCHI D,et al.Estimating basal area and stem volume for individual trees from LiDAR data[J].Photogrammetric Engineering and Remote Sensing,2007,73(12):1355.
6. [6]
  SRINIVASAN S,POPESCU S C,ERIKSSON M,et al.Terrestrial laser scanning as an effective tool to retrieve tree level height,crown width,and stem diameter[J].Remote Sensing,2015,7(2):1877.
7. [7]
  吴宾,余柏蒗,岳文辉,等.一种基于车载激光扫描点云数据的单株行道树信息提取方法[J].华东师范大学学报(自然科学版),2013(2):38.
8. [8]
  毛杰,张西童,吴珍珍,等.基于三维激光扫描技术的景观石重建技术[J].黑龙江工程学院学报,2016,30(2):12.
9. [9]
  徐伟恒,冯仲科,苏志芳,等.一种基于三维激光点云数据的单木树冠投影面积和树冠体积自动提取算法[J].光谱学与光谱分析,2014,34(2):465.
10. [10]
  BéLAND M,WIDLOWSKI J L,FOURNIER R A,et al.Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements[J].Agricultural and Forest Meteorology,2011,151(9):1252.
11. [11]
  BALSARI P,DORUCHOWSKI G,MARUCCO P,et al.A system for adjusting the spray appli-cation to the target characteristics[J].Agricultural Engineering International:CIGR Journal,2008(10):1128.
12. [12]
  张富贵,洪添胜,肖磊,等.果树冠幅的检测机理研究[J].农业工程学报,2008,24(4):25.
13. [13]
  俞龙,洪添胜,赵祚喜,等.基于超声波的果树冠层三维重构与体积测量[J].农业工程学报,2010,26(11):204.
14. [14]
  李永强,杨莎莎,李框宇,等.车载激光扫描数据中杆状地物提取[J].测绘科学,2015,40(8):42.
15. [15]
  CHEEIN F A A,GUIVANT J,SANZ R,et al.Real-time approaches for characterization of fully and partially scanned canopies in groves[J].Computers and Electronics in Agriculture,2015(118):361.
16. [16]
  ROSELL P J R,SANZ C R,LLORENS C J,et al.A tractor-mounted scanning LiDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations:A comparison with conventional destructive measurements[J].Biosystems Engineering,2009,102(2):128.
17. [17]
  LIN Y.LiDAR:An important tool for next-generation phenotyping technology of high potential for plant phenomics[J].Computers and Electronics in Agriculture,2015(119):61.
18. [18]
  田春来,邓世军,王国飞,等.一种基于点云的道路信息自动提取方法:201410047529.9[P].2014-02-11.
19. [19]
  管海燕,邓非,张剑清,等.面向对象的航空影像与LiDAR数据融合分类[J].武汉大学学报(信息科学版),2009,34(7):830.
20. [20]
  陈昌鸣,向煜,龙川.基于车载激光雷达的行道树提取研究[J].北京测绘,2015(1):18.
21. [21]
  杨莎莎,李永强,李框宇,等.基于车载 LiDAR 数据的单株树提取[J].测绘工程,2014,23(8):23.
22. [22]
  冯义从,岑敏仪,张同刚.基于知识的车载 LiDAR 地物自动分类[J].计算机工程与应用,2016,52(5):122.
23. [23]
  贾小勇,徐传胜,白欣.最小二乘法的创立及其思想方法[J].西北大学学报(自然科学版),2006,36(3):507. 本刊数字网络传播声明本刊已许可万方数据资源系统、维普网、博看网、超星、中国科技论文在线、中教数据库、91
  阅读网等,以及中国学术期刊(光盘版)电子杂志社在中国知网及其系列数据库产品中,以数字化方式复制、汇编、发行、信息网络传播本刊全文.其相关著作权使用费与本刊稿酬一并支付.作者向本刊提交文章发表的行为即视为同意我刊上述声明.
1. [1]
  池哲翔 , 廖敏 , 史尚 , 李声毅 , 廖芸 , 丁冬 . 国外烟草活性成分提取及纤维材料利用现状与展望. 轻工学报, 2024, 0(0): -.
2. [2]
  李艳坤 , 张伟 , 刘彦伶 . 数据融合策略在食用油真实性鉴别中的研究与应用进展. 轻工学报, 2024, 39(5): 50-59. doi: 10.12187/2024.05.006

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张卫正, 刘晓燕, 王国飞, 等. 基于车载LiDAR的行道树胸径和株距测量[J]. 轻工学报, 2017, 32(3): 78-84. doi: 10.3969/j.issn.2096-1553.2017.3.013

引用本文: 张卫正, 刘晓燕, 王国飞, 等. 基于车载LiDAR的行道树胸径和株距测量[J]. 轻工学报, 2017, 32(3): 78-84. doi: 10.3969/j.issn.2096-1553.2017.3.013

基于车载LiDAR的行道树胸径和株距测量

郑州轻工业学院计算机与通信工程学院, 河南郑州 450001;
中国船舶重工集团公司第七一三研究所, 河南郑州 450000;
星际空间(天津)科技发展有限公司航测事业部, 天津 300384;
郑州轻工业学院电气信息工程学院, 河南郑州 450002;
浙江省第二测绘院航测与遥感三分院, 浙江杭州 310012

收稿日期: 2016-09-29
网络出版日期: 2017-05-15

基金项目: 国家自然科学基金项目（61403349，61503173）；郑州轻工业学院博士科研基金项目（JSJ20170017）；郑州轻工业学院2017年大学生科技活动项目

关键词:

摘要: 采用车载LiDAR获取点云，根据分层投影算法结合地物特征等先验知识实现各单株行道树点云的提取，通过最小二乘法拟合圆，运用Matlab编程测量行道树胸径和株距.实验结果表明，该方法与人工测量两种测量方法测得的行道树胸径和相邻行道树的间距的均方根误差分别为0.008 7 m和0.010 3 m，相关系数分别为0.968 2和0.999 6.该方法精度高、测量范围大，可为检测行道树分布和生长状态提供优质数据.

English Abstract

Measurement of DBH and row spacing of street trees based on mobile LiDAR

College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China;
Seventh Thirteen Institute of China Shipbuilding Industry Corporation, Zhengzhou 450000, China;
Department of Aerial Division, Tianjin StarGIS Engineering Co., Ltd., Tianjin 300384, China;
College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China;
Third Branch of Aerial Survey and Remote Sensing, The Second Surveying and Mapping Institute of Zhejiang Province, Hangzhou 310012, China

Received Date: 2016-09-29
Available Online: 2017-05-15

Abstract: Points cloud of street trees were obtained by vehicle LiDAR.The existing hierarchical projection algorithm was combined with heuristic knowledge of object characteristics to achieve the points cloud extraction of each tree.Fitting circle by least squares,the diameter at breast height(DBH) and row spacing of street trees were measured by Matlab programming.The experimental results showed that the root mean square(RMS) error of DBH and row spacing of LiDAR-based measurement and manual measurement were 0.008 7 m and 0.010 3 m,the correlation coefficients were 0.968 2 and 0.999 6.The proposed method had high precision and wide measuring range and provided quality data for the detection of distribution and growth state of street trees.

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