Reconstruction of tree branching structures from UAV-LiDAR data
Metadata
Show full item recordEditorial
Frontiers
Materia
Tree reconstruction LiDAR Point cloud 3D Modeling Mesh generation Forest structure
Date
2022-11-02Referencia bibliográfica
Cárdenas JL... [et al.] (2022), Reconstruction of tree branching structures from UAV-LiDAR data. Front. Environ. Sci. 10:960083. doi: [10.3389/fenvs.2022.960083]
Sponsorship
Junta de Andalucia 1381202-GEU PYC20-RE-005-UJA; European Commission Spanish Government PID2021-126339OB-I00 FPU17/01902 FPU19/00100Abstract
The reconstruction of tree branching structures is a longstanding problem in
Computer Graphics which has been studied over several data sources, from
photogrammetry point clouds to Terrestrial and Aerial Laser Imaging Detection
and Ranging technology. However, most data sources present acquisition
errors that make the reconstruction more challenging. Among them, the
main challenge is the partial or complete occlusion of branch segments,
thus leading to disconnected components whether the reconstruction is
resolved using graph-based approaches. In this work, we propose a hybrid
method based on radius-based search and Minimum Spanning Tree for the tree
branching reconstruction by handling occlusion and disconnected branches.
Furthermore, we simplify previous work evaluating the similarity between
ground-truth and reconstructed skeletons. Using this approach, our method
is proved to be more effective than the baseline methods, regarding
reconstruction results and response time. Our method yields better results
on the complete explored radii interval, though the improvement is especially
significant on the Ground Sampling Distance In terms of latency, an outstanding
performance is achieved in comparison with the baseline method.