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 convolutional kernels and all self-a... https://intcariuma.shop/product-category/online/
MHST: Multiscale Head Selection Transformer for Hyperspectral and LiDAR Classification
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