3D fine reconstruction of single tree based on TLS data
To enhance the reconstruction accuracy of individual tree models,a refined individual tree reconstruction method based on point cloud connectivity is proposed.Firstly,the initial skeleton of an individual tree is generated using the shortest path algorithm combined with the point cloud connectivity relationship.Then,the skeleton is optimized based on the positional relationship between adjacent points.Finally,high-precision individual tree model reconstruction is achieved through cylinder fitting and leaf simulation.The method is validated using point cloud data of different tree species and densities.The results show that the average absolute deviation of the model reconstruction in this method is less than 5 cm,and the root mean square error is less than 0.15 cm.The R2 values of tree height and diameter at breast height compared with the true values are above 0.99.Compared with the Adtree method,the average absolute deviation is reduced by 55.14％,the root mean square error is decreased by 23.95％,and the model data volume is reduced by 49.51％,indicating that the individual tree models reconstructed by this method exhibit higher accuracy and robustness.
NETL
NSTL
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