在往后的研究中除了基于点云的距离判别聚类分割方法外，可尝试加入更多的单

Individual tree segmentation in subsequent studies, in addition to discrimination based clustering segmentation point cloud from outside, try to add more individual tree segmentation method, such as marking control watershed method, polynomial fitting, CHM binding cloud point and the like, using different individual tree segmentation algorithm UAV point cloud images extracted individual tree [32].

In the later study, in addition to the distance-based clustering method of point cloud, more one-wood segmentation methods can be tried, such as marking control watershed method, polynomial proposed legal, CHM and point cloud combined with the single-wood segmentation method, etc., using different single-wood segmentation algorithm for the uavouring point cloud for single-wood extraction.

In the future research, in addition to the distance discrimination clustering segmentation method based on point cloud, we can try to add more single wood segmentation methods, such as mark control watershed method, polynomial fitting method, single wood segmentation method combined with CHM and point cloud, and use different single wood segmentation algorithms to extract point cloud of UAV image [32].<br>