| 摘要 |
A method and apparatus for identifying individual trees and its canopy shape in LiDAR data determines if the view of each LiDAR data point is blocked by one or more neighboring LiDAR data points. LiDAR data points that do not have neighboring LiDAR data points that block the view are considered to be a central part of a tree canopy. In one embodiment, those LiDAR data points that are central part of a canopy are added to an output file that stores clusters of data points for each canopy detected. The central part of the canopy area can be analyzed to predict one or more characteristics of the tree. |
