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Open AccessArticle

AdTree: Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees

3D Geoinformation Research Group, Faculty of Architecture and the Built Environment, Delft University of Technology, 2628 BL Delft, The Netherlands
Department of Geoscience and Remote Sensing, Delft University of Technology, 2628 CN Delft, The Netherlands
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(18), 2074;
Received: 30 June 2019 / Revised: 16 August 2019 / Accepted: 28 August 2019 / Published: 4 September 2019
(This article belongs to the Special Issue Virtual Forest)
Laser scanning is an effective tool for acquiring geometric attributes of trees and vegetation, which lays a solid foundation for 3-dimensional tree modelling. Existing studies on tree modelling from laser scanning data are vast. However, some works cannot guarantee sufficient modelling accuracy, while some other works are mainly rule-based and therefore highly depend on user inputs. In this paper, we propose a novel method to accurately and automatically reconstruct detailed 3D tree models from laser scans. We first extract an initial tree skeleton from the input point cloud by establishing a minimum spanning tree using the Dijkstra shortest-path algorithm. Then, the initial tree skeleton is pruned by iteratively removing redundant components. After that, an optimization-based approach is performed to fit a sequence of cylinders to approximate the geometry of the tree branches. Experiments on various types of trees from different data sources demonstrate the effectiveness and robustness of our method. The overall fitting error (i.e., the distance between the input points and the output model) is less than 10 cm. The reconstructed tree models can be further applied in the precise estimation of tree attributes, urban landscape visualization, etc. The source code of this work is freely available at View Full-Text
Keywords: laser scanning; point cloud; tree modelling; precision forestry laser scanning; point cloud; tree modelling; precision forestry
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Du, S.; Lindenbergh, R.; Ledoux, H.; Stoter, J.; Nan, L. AdTree: Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees. Remote Sens. 2019, 11, 2074.

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