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[IEEE JSTARS 2024] Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification

This demo is associated with Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for publication.

PyTrans

@ARTICLE{10681622, author={Ahmad, Muhammad and Butt, Muhammad Hassaan Farooq and Mazzara, Manuel and Distefano, Salvatore and Khan, Adil Mehmood and Altuwaijri, Hamad Ahmed}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, title={Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification}, year={2024}, volume={}, number={}, pages={1-10}, doi={10.1109/JSTARS.2024.3461851}}

Hyperspectral datasets

Several public hyperspectral datasets are available on the EHU. Users can download those beforehand.

An example dataset folder has the following structure:

Datasets
├── University of Houston
│   ├── UH.mat
│   └── UH_gt.mat
├── Pavia University
│   ├── PU.mat
│   └── PU_gt.mat
├── Salinas
│   ├── SA.mat
│   └── SA_gt.mat

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