DLMBMT: A Deep Learning Method Based on the Multi-Scale Technique for Hyperspectral Image Classification with Limited Training Samples
In hyperspectral imaging (HSI) classification tasks, Convolutional Neural Network (CNN) and 3-D Swin Transformer (3DST) methods have shown strong HSI classification performance, yet CNN is limited by local receptive fields that restrict global–spatial and multi-scale modeling, while 3DST may underutilize continuous spe...