Table 2 Pavia University labeled Samples [We have used the raw data to draw the satellite imagery in Table 2 from the publicly available dataset at the GitHub repository, where we have already mentioned the link in our previous manuscript in the data availability section (https://github.com/gokriznastic/HybridSN/tree/master/data). Moreover, the classification maps in Table 2 were generated using the PHYTON 3.8 version and are publicly available at Pytorch library https://pytorch.org/get-started/locally/. Which is installed on NVIDIA RTX 3060 GPU with 64 GB RAM].

From: GroupFormer for hyperspectral image classification through group attention