结果表明，点云距离阈值分割方法适宜进行落叶松单木分割，精度最高（平均F

The results show that, from the point cloud thresholding method is suitable for single larch wood split up (mean F = 0.94) accuracy, probably because larch ovoid conical crown, the average size comparison, to obtain a better segmentation results, which Li et a result lidar point cloud data segmented successful single conifer wood, detection accuracy of the results 90% similar to [33], in which the tilt can be useful in photography point cloud larch wood split single mature forest;

结果表明，点云距离阈值分割方法适宜进行落叶松单木分割，精度最高（平均F=0.94），可能是因为落叶松树冠呈卵状圆锥形、大小比较平均，得到比较好的分割效果，这一结果与Li等利用激光雷达点云数据成功分割针阔混交林单木，探测精度达90%的研究结果相似[33]，说明倾斜摄影点云可以有效用于落叶松成熟林单木分割；

The results show that the point cloud distance threshold segmentation method is suitable for Larch single tree segmentation with the highest accuracy (average f = 0.94), which may be due to the fact that the larch crown is oval cone-shaped and the size is relatively average, and the segmentation effect is relatively good. This result is similar to that of Li et al. Who successfully used laser Lida point cloud data to segment single trees of coniferous broad-leaved mixed forest, and the detection accuracy is 90% [33] The results show that the slant photo point cloud can be used to segment the mature larch trees effectively;