2 March 2016 Extraction of tree crowns from mobile laser scanning data using a marked point process model
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Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 990107 (2016) https://doi.org/10.1117/12.2234853
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
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.
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Jonathan Li, Jonathan Li, Yongtao Yu, Yongtao Yu, Haiyan Guan, Haiyan Guan, Zheng Gong, Zheng Gong, "Extraction of tree crowns from mobile laser scanning data using a marked point process model", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990107 (2 March 2016); doi: 10.1117/12.2234853; https://doi.org/10.1117/12.2234853
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