Outdoor LiDAR point cloud classification algorithm based on multilevel point cluster feature fusion

This work presents a point cloud classification algorithm based on multi-level aggregated features that achieves classification accuracy/Kappa coefficient of 99.88 % and combined with a random forest classifier to achieve automatic classification of point clouds.