High and steep slope dangerous rock mass automatic identification method and system based on unmanned aerial vehicle point cloud

The invention relates to a high and steep slope dangerous rock mass automatic identification method and system based on unmanned aerial vehicle point cloud. The method comprises the following steps: acquiring slope point cloud data and preprocessing the slope point cloud data; performing normal vector and curvature calculation in sequence according to the preprocessed point cloud data to obtain edge point clouds, and clustering the edge point clouds to obtain edge point clouds of single blocks and overall point clouds; performing least square method-based rear wall plane fitting on the edge point cloud of the single block to obtain a first result; performing integral volume calculation based on an alpha-shape algorithm on the integral point cloud of the single block to obtain a second result; performing back wall plane boundary search calculation based on an alpha algorithm on the integral point cloud of the single block to obtain a third result; and comprehensively evaluating the dangerous rock mass accordin