An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner
Joint Authors
Li, Ronghao
Bu, Guochao
Wang, Pei
Source
International Journal of Optics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Tree skeleton could describe the shape and topological structure of a tree, which are useful to forest researchers.
Terrestrial laser scanner (TLS) can scan trees with high accuracy and speed to acquire the point cloud data, which could be used to extract tree skeletons.
An adaptive extracting method of tree skeleton based on the point cloud data of TLS was proposed in this paper.
The point cloud data were segmented by artificial filtration and k-means clustering, and the point cloud data of trunk and branches remained to extract skeleton.
Then the skeleton nodes were calculated by using breadth first search (BFS) method, quantifying method, and clustering method.
Based on their connectivity, the skeleton nodes were connected to generate the tree skeleton, which would be smoothed by using Laplace smoothing method.
In this paper, the point cloud data of a toona tree and peach tree were used to test the proposed method and for comparing the proposed method with the shortest path method to illustrate the robustness and superiority of the method.
The experimental results showed that the shape of tree skeleton extracted was consistent with the real tree, which showed the method proposed in the paper is effective and feasible.
American Psychological Association (APA)
Li, Ronghao& Bu, Guochao& Wang, Pei. 2017. An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner. International Journal of Optics،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1167927
Modern Language Association (MLA)
Li, Ronghao…[et al.]. An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner. International Journal of Optics No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1167927
American Medical Association (AMA)
Li, Ronghao& Bu, Guochao& Wang, Pei. An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner. International Journal of Optics. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1167927
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1167927