Extraction of individual tree branch parameters from skeleton model based on point cloud data.

LIU Jin-peng; ZHANG Huai-qing; LIU Min; LI Yong-liang; LI Wei-na.

doi:10.13332/j.1000-1522.20150490

Journal of Beijing Forestry University > 2016 > 38(10): 15-20. > DOI: 10.13332/j.1000-1522.20150490

LIU Jin-peng, ZHANG Huai-qing, LIU Min, LI Yong-liang, LI Wei-na.. Extraction of individual tree branch parameters from skeleton model based on point cloud data.[J]. Journal of Beijing Forestry University, 2016, 38(10): 15-20. DOI: 10.13332/j.1000-1522.20150490

Citation:

PDF (2737 KB)

Extraction of individual tree branch parameters from skeleton model based on point cloud data.

Research Institute of Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091,P.R. China.

More Information

Received Date: December 10, 2015
Published Date: October 28, 2016

Graphical Abstract

Abstract

Abstract

Terrestrial laser scanning technology plays an important role in extracting individual tree parameters. Meanwhile, graphics algorithms provides feasible methods for evaluating structural parameters. In this paper, a method of extracting individual tree structural parameters has been put forward. We extracted individual trees skeleton model by SkelTre algorithm. Then branch structure was identified by topological feature of the skeleton model from searching the connection nodes among different branches. We calculated branch length and made the cross-section through the skeleton model at branch connection points. Moreover, convex hull algorithm was used for extracting a plane polygon and calculating branch diameter through the point cloud outsourcing. From the regression analysis between field measurement and model estimated measurement, we acquired the compared branch length and diameters. Branch lengths regression of filed measurement and model estimation performed with Y=1.006X+1.335, significant value of 0.001. Meanwhile, branch diameters regression of filed measurement and model estimation performed with Y=0.923X+0.105, significant value of 0.000. The experiment results demonstrate that extracting skeleton model to identify individual trees branch structure and acquire structure parameters, such as branch length and branch diameter is applicable and promising.
- terrestrial laser scanning,
- skeleton model,
- branch diameter,
- branch structure

FullText(HTML)

References (17)

References

[1]	BAI J, ZHANG H Q, LIU M. Three-dimensional visual simulation of sympodial branching trees morphological architecture[J]. Scientia Silvae Sinicae, 2014, 50(12): 73-78.
[1]	白静,张怀清, 刘闽. 合轴分枝树木形态结构三维可视化模拟方法[J]. 林业科学, 2014, 50(12): 73-78.
[2]	COOPS N C, HILKER T, WULDER M A, et al. Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR[J]. Trees, 2007, 21(3): 295-310.
[2]	LI D,PANG Y,YUE C R, et al. Extraction of individual tree DBH and height based on terrestrial laser scanner data[J]. Journal of Beijing Forestry University, 2012, 34(4): 79-86.
[3]	WANG X C,CHAO X P. Stumpage forestry parameters mining based on the laser point cloud[J]. Science Technology and Engineering, 2013,13(18): 5390-5394.
[3]	MOORTHY I, MILLER J R, BERNI J A J, et al. Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data [J]. Agricultural and Forest Meteorology, 2011, 151(2): 204-214.
[4]	LIU L X, PANG Y, LI Z Y, et al. Retrieving structural parameters of individual tree through terrestrial laser scanning data[J]. Journal of Remote Sensing, 2014, 18(2): 365-377.
[4]	BIENERT A, SCHELLER S, KEANE E, et al. Tree detection and diameter estimations by analysis of forest terrestrial laser scanner point clouds[C]∥Proceedings of ISPRS workshop on laser scanning. Espoo: International Society for Photogrammetry and Remote Sensing, 2007: 50-55.
[5]	SALAS C, ENE L, GREGOIRE T G, et al. Modelling tree diameter from airborne laser scanning derived variables: a comparison of spatial statistical models[J]. Remote Sensing of Environment, 2010, 114(6): 1277-1285.
[6]	JUNG S E, KWAK D A, PARK T, et al. Estimating crown variables of individual trees using airborne and terrestrial laser scanners[J]. Remote Sensing, 2011, 3(11): 2346-2363.
[7]	李丹, 庞勇, 岳彩荣, 等. 基于 TLS 数据的单木胸径和树高提取研究[J]. 北京林业大学学报, 2012, 34(4): 79-86.
[8]	王学春, 晁学鹏. 基于激光点云数据的活立木林学参数挖掘[J]. 科学技术与工程, 2013,13(18): 5390-5394.
[9]	刘鲁霞, 庞勇, 李增元, 等. 用地基激光雷达提取单木结构参数:以白皮松为例[J]. 遥感学报, 2014, 18(2): 365-377.
[10]	GORTE B, PFEIFER N. Structuring laser-scanned trees using 3D mathematical morphology[J]. International Archives of Photogrammetry and Remote Sensing, 2004, 35: 929-933.
[11]	TAGLIASACCHI A, ZHANG H, COHEN-OR D. Curve skeleton extraction from incomplete point cloud[J]. ACM Transation on Graphics, 2009, 28(3): 341-352.
[12]	SU Z, ZHAO Y, ZHAO C, et al. Skeleton extraction for tree models [J]. Mathematical and Computer Modelling, 2011, 54(3): 1115-1120.
[13]	BUCKSCH A, LINDENBERGH R, MENENTI M. SkelTre [J]. Visual Computer, 2010, 26(10): 1283-130.

Cited By

Cited by

Periodical cited type(3)

1.	李辉，林沂，孟祥爽，史振伟，蔡万园. 基于地基激光雷达的栾树分形特征分析. 山东农业大学学报(自然科学版). 2022(03): 475-483 .
2.	何东健，熊虹婷，芦忠忠，刘建敏. 基于多视角立体视觉的拔节期玉米水分胁迫预测模型. 农业机械学报. 2020(06): 248-257 .
3.	郭彩玲，刘刚. 基于颜色取样的苹果树枝干点云数据提取方法. 农业机械学报. 2019(10): 189-196 .

Other cited types(7)

Get Citation

PDF

XML

Article views (1917) PDF downloads (36) Cited by(10)

Turn off MathJax

Article Contents

Abstract

References

Extraction of individual tree branch parameters from skeleton model based on point cloud data.

Abstract

References

Cited by

Periodical cited type(3)

Other cited types(7)

Catalog

Export File

Citation

Format

Content