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Proceedings Paper

Extraction of tree crowns from mobile laser scanning data using a marked point process model
Author(s): Jonathan Li; Yongtao Yu; Haiyan Guan; Zheng Gong
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Paper Abstract

For the purpose of realistic visualisation in 3D city models, we present a marked point process based method for extracting tree-crowns from mobile laser scanning (MLS) data. First, we apply a modified IDW interpolation to generate a geo-referenced feature image, by which a histogram analysis is applied to separate high objects(e.g. trees and lightpoles) from low objects(e.g. road, ground, low vegetation). Next, we calculate grey differences of each pixel with its neighbors to find the local maxima as potential tree-crown seeds, and then use a grouping-and-centralizing procedure to remove the redundants from the seeds. Finally, we employ a marked point process to the generated geo-referenced image via the seeds. Two experiments have been conducted to test the efficiency and feasibility of our tree-extraction algorithm using RIEGL VMX-450 MLS data.

Paper Details

Date Published: 2 March 2016
PDF: 6 pages
Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990107 (2 March 2016); doi: 10.1117/12.2234853
Show Author Affiliations
Jonathan Li, Xiamen Univ. (China)
Univ. of Waterloo (Canada)
Yongtao Yu, Xiamen Univ. (China)
Haiyan Guan, Univ. of Waterloo (Canada)
Zheng Gong, Xiamen Univ. (China)

Published in SPIE Proceedings Vol. 9901:
2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015)
Cheng Wang; Rongrong Ji; Chenglu Wen, Editor(s)

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