Nested Transformers for Hyperspectral Image Classification

Figure 2

The workflow of HSI classification based on NesT. The patch embedding and Transformer encoders of the model have the same structure as that in ViT. After that, the block aggregation is used to extract the features of different blocks and then do classification.