Research progress of tree canopy feature information extraction based on laser point cloud

The characteristic information of trees is an important parameter for the research of agro-forestry production, and the rapid extraction of information is of great significance for the research of agro-forestry. Therefore, based on laser point cloud technology, the research progress for the extraction of tree feature information at home and abroad is reviewed, and the research status is summarized from three aspects such as 2D LiDAR, vehicle-mounted LiDAR and ground-based LiDAR. At the same time, it is pointed out that the universality of 2D LiDAR is poor and outdoor acquisition is difficult. The data accuracy of vehicle-mounted LiDAR is low and the algorithm method depends on serious ones. The ground-based LiDAR data calculation is extensive and computation time is lengthy. Finally, the research of new rapid processing algorithms, the elimination and repair of complicated characteristics in datasets and the development and commercialization of integrated systems for precision detection are proposed, which provides reference for subsequent research on tree feature information extraction based on point cloud technology.