Contour extraction of point cloud data for tree branches

GAO Shizeng; ZHANG Huaiqing; LIU Min; HE Qingping; LUO Liping

doi:10.11833/j.issn.2095-0756.2013.05.003

Volume 30 Issue 5

Sep. 2013

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GAO Shizeng, ZHANG Huaiqing, LIU Min, HE Qingping, LUO Liping. Contour extraction of point cloud data for tree branches[J]. Journal of Zhejiang A&F University, 2013, 30(5): 648-654. doi: 10.11833/j.issn.2095-0756.2013.05.003

Citation:

GAO Shizeng, ZHANG Huaiqing, LIU Min, HE Qingping, LUO Liping. Contour extraction of point cloud data for tree branches[J]. Journal of Zhejiang A&F University, 2013, 30(5): 648-654. doi: 10.11833/j.issn.2095-0756.2013.05.003

Contour extraction of point cloud data for tree branches

doi: 10.11833/j.issn.2095-0756.2013.05.003

1.
Research Institute of Forestry Resource Information Techniques，Chinese Academy of Forestry，Beijing 100091，China;
2.
Guanghuang Station，Huangfengqiao Forest Farm of Youxian County，Youxian 412306，Hunan，China

More Information

Corresponding author: ZHANG Huaiqing
Received Date: 2012-11-02
Rev Recd Date: 2013-03-24
Publish Date: 2013-10-20

Abstract

3D laser scanning technology was used with point cloud data of tree branches to measure the inherent complex characteristics and contour model of the branches was established. Branches were divided into different parts，and a hierarchical model of the tree was established. Also，distribution of the point cloud for tree height was analyzed. With high-precision sampling，the stratified point cloud was used for contour sampling data, and all points of different parts of the branches for each floor of data were connected using a convex hull algorithm. Then a contour model of the branches was established followed by validation of the model. Branches diameter of different height were extracted from the model，the error was less than 5% compared with the actual measurement value. Results showed that in the absence of prior knowledge of the contours and with the establishment of the point cloud objective model, an iterative convex hull algorithm effectively connected discrete point cloud data on the tree branches, and the model was validated. Thus，with the new contours being consistent with the original contours, feasibility of this approach was verified. ［Ch，8 fig. 1 tab. 11 ref. ］
- forest mensuration,
- 3D laser scanning technique,
- branch,
- contour,
- convex hull algorithm

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Contour extraction of point cloud data for tree branches

1. Research Institute of Forestry Resource Information Techniques，Chinese Academy of Forestry，Beijing 100091，China;

2. Guanghuang Station，Huangfengqiao Forest Farm of Youxian County，Youxian 412306，Hunan，China

Corresponding author: ZHANG Huaiqing

Received Date: 2012-11-02

Rev Recd Date: 2013-03-24

Publish Date: 2013-10-20

Key words:

Abstract: 3D laser scanning technology was used with point cloud data of tree branches to measure the inherent complex characteristics and contour model of the branches was established. Branches were divided into different parts，and a hierarchical model of the tree was established. Also，distribution of the point cloud for tree height was analyzed. With high-precision sampling，the stratified point cloud was used for contour sampling data, and all points of different parts of the branches for each floor of data were connected using a convex hull algorithm. Then a contour model of the branches was established followed by validation of the model. Branches diameter of different height were extracted from the model，the error was less than 5% compared with the actual measurement value. Results showed that in the absence of prior knowledge of the contours and with the establishment of the point cloud objective model, an iterative convex hull algorithm effectively connected discrete point cloud data on the tree branches, and the model was validated. Thus，with the new contours being consistent with the original contours, feasibility of this approach was verified. ［Ch，8 fig. 1 tab. 11 ref. ］

Contour extraction of point cloud data for tree branches

doi: 10.11833/j.issn.2095-0756.2013.05.003

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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