【摘要】 为提升单木模型的重建精度，该文提出一种基于点云连通性的单木精细化重建方法。首先，利用最短路径结合点云连通关系生成单木的初始骨架；然后，根据相邻点的位置关系优化骨架；最后，使用圆柱拟合与树叶模拟的方法，实现高精度的单木模型重建。采用不同树种、不同密度的点云数据进行验证，结果表明，本文方法模型重建的平均绝对偏差小于5 cm、均方根误差小于0.15 cm;模型的树高、胸径与真实值相比R~2达0.99以上；与Adtree方法相比，平均绝对偏差减少55.14%、均方根误差下降23.95%,模型数据量降低49.51%,表明本方法重建的单木模型具有更高的准确性和稳健性。更多还原

【Abstract】 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 R~2 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.更多还原