Airborne liDAR point cloud semantic segmentation method, electronic equipment and storage medium

The invention discloses an airborne liDAR point cloud semantic segmentation method, and the method comprises the steps: carrying out the fusion of a LiDAR point cloud and a hyperspectral image, and obtaining a hyperspectral point cloud; performing feature extraction on each group of LiDAR point cloud data to obtain a first feature vector; encoding each group of LiDAR point cloud data and hyperspectral point cloud data to obtain a LiDAR point cloud feature vector and a hyperspectral feature vector of each encoding stage; fusing the LiDAR point cloud feature vector and the hyperspectral feature vector of the current coding stage with the fusion feature vector of the previous decoding stage by adopting an A-MLP layer, inputting the fused feature vector and the fused feature vector into the next decoding stage, and obtaining a second feature vector after decoding is completed; and after the first feature vector and the second feature vector are spliced, the third feature vector is obtained through full connection