NPC方法是直接基于点云之间的空间距离设定合理阈值进行聚类完成分割，而

The NPC method directly sets a reasonable threshold based on the spatial distance between the point clouds for clustering to complete the segmentation, while the method based on the canopy height model uses the height change of the forest canopy surface to detect tree vertices and crown edges. There are many image-based segmentation methods, such as edge detection algorithms, area segmentation, and image threshold segmentation.

The NPC method is to cluster to complete segmentation directly based on the spatial distance between point clouds, while the method based on the canopy height model uses the height variation of the forest canopy surface to detect tree vertices and the edge of the tree crown. There are many methods of image-based segmentation, such as edge detection algorithm, area segmentation, image threshold segmentation, etc.

NPC method is based on the reasonable threshold set by the space distance between the point clouds to complete the clustering segmentation, while the method based on the canopy height model is based on the height change of the forest canopy surface to detect the tree vertex and crown edge. There are many image-based segmentation methods, such as edge detection algorithm, region segmentation, image threshold segmentation and so on.