This code is used for our research paper:

U. Ghous, et.al., "(2+1)D Extreme Xception Net for Hyperspectral Image Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.

Please cite: @ARTICLE{10423094, author={Ghous, Usman and Sarfraz, Muhammad Shahzad and Ahmad, Muhammad and Li, Chenyu and Hong, Danfeng}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, title={(2+1)D Extreme Xception Net for Hyperspectral Image Classification}, year={2024}, volume={}, number={}, pages={1-14}, doi={10.1109/JSTARS.2024.3362936}}

This tool is compatible with Python 2.7 and Python 3.5+ and executed over Colab.

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

An example dataset folder has the following structure:

Datasets
├── IndianPines
│   ├── Indian_pines_corrected.mat
│   ├── Indian_pines_gt.mat
├── University of Houston
│   ├── UH.mat
│   └── UG_gt.mat