The Cuprite HSI dataset covers a region around Las Vegas, Nevada, USA, and comprises a 512×614, 188-channel HSI. The area under observation contains 12 minerals (or, for our purposes, endmembers): Alunite, Andradite, Buddingtonite, Dumortierite, Kaolinite1, Kaolinite2, Muscovite, Montmorillonite, Nontronite, Pyrope, Sphene, and Chalcedony. The Cuprite dataset lacks pixel-level abundance information that the proposed model needs for training. We explored transfer learning to deal with this issue. We constructed a Cuprite Synthetic dataset that uses the same materials as those found in the Cuprite dataset. The spectra for these materials were taken from the USGS spectral library.
You can find the dataset here.
Please cite the following publication if you use this dataset.
@ARTICLE{24-ieee-igrs-j,
author={Mantripragada, Kiran and Qureshi, Faisal Z.},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder},
year={2024},
volume={62},
number={},
pages={13pp},
doi={10.1109/TGRS.2024.3357589},
ISSN={1558-0644},
month={January},
keywords = {hsi-unmixing},
url_Paper = {pubs/24-ieee-tgrs-j.pdf}
}
We have used this dataset in preparation of the following works.

This
work is licensed under a
Creative
Commons Attribution 4.0 International License.