MHST: Multiscale Head Selection Transformer for Hyperspectral and LiDAR Classification
The joint use of hyperspectral image (HSI) and light detection and ranging (LiDAR) data has gained significant performance on land-cover classification.Although spatial–spectral feature learning methods based on convolutional neural networks and transformer networks have achieved prominent advances, contextual information described by fixed