2 March 2016 Reconstruction of individual trees based on LiDAR and in situ data
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Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99011E (2016) https://doi.org/10.1117/12.2234859
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
Abstract
This paper presents a method to reconstruct individual trees from Terrestrial Laser Scanning (TLS) data obtained in leafoff conditions of an experiment plot. It firstly used the point clouds to build the branch structures of trees with a global optimization method. Computer generated needles and shoots were added to the previously constructed branches according to the leaf area (LA) of each individual tree, in consideration of clumping effect of small-scale structures. The LA was determined by the proportion of crown volume in this plot with LAI measured. In this way, several larix trees with different shapes and heights were reconstructed, which is basis of 3D forest scene reconstruction.
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Jianbo Qi, Jianbo Qi, Donghui Xie, Donghui Xie, Wuming Zhang, Wuming Zhang, } "Reconstruction of individual trees based on LiDAR and in situ data", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99011E (2 March 2016); doi: 10.1117/12.2234859; https://doi.org/10.1117/12.2234859
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