Transactions of Nanjing University of Aeronautics & Astronautics
3-D Reconstruction and Visualization of Laser-Scanned Trees by Weighted Locally Optimal Projection and Accurate Modeling Method
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Abstract:
This paper presents a method to reconstruct 3-D models of trees from terrestrial laser scan （TLS） point clouds. This method uses the weighted locally optimal projection （WLOP） and the AdTree method to reconstruct detailed 3-D tree models. To improve its representation accuracy， the WLOP algorithm is introduced to consolidate the point cloud. Its reconstruction accuracy is tested using a dataset of ten trees， and the one-sided Hausdorff distances between the input point clouds and the resulting 3-D models are measured. The experimental results show that the optimal projection modeling method has an average one-sided Hausdorff distance （mean） lower by 30.74% and 6.43% compared with AdTree and AdQSM methods， respectively. Furthermore， it has an average one-sided Hausdorff distance （RMS） lower by 29.95% and 12.28% compared with AdTree and AdQSM methods. Results show that the 3-D model generated fits closely to the input point cloud data and ensures a high geometrical accuracy.
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Project Supported:
This work was supported in part by the National Natural Science Foundation of China （Nos.42271343， 42177387）， and the Fund of State Key Laboratory of Remote Sensing Information and Image Analysis Technology of Beijing Research Institute of Uranium Geology under （No.6142A010403）.
Clc Number:
TP391.9
CHINA AERO-SCIENCES
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