HyperPanCollection

Hyperspectral Pansharpening Datasets: Washington DC Mall, Pavia Center, Botswana and a real (or full-resolution) dataset FR1.

• Homepage: Liang-Jian Deng and Yu-Wei Zhuo

• Recommendation: Use the code [Hyper-DSNet] + the dataset [HyperPanCollection] for fair training and testing!

• Hyper-DSNet paper: "A Deep-Shallow Fusion Network with Multi-Detail Extractor and Spectral Attention for Hyperspectral Pansharpening, IEEE JSTARS, 2022" [paper]

• Also, a dataset [PanCollection] for another similar task, i.e., (multispectral) pansharpening!

Download by Google Drive

• Reduced-resolution datasets used in this paper are Washington DC Mall, Pavia Center and Botswana Dataset. Here we provide complete training and testing data for download.

  Dataset	Link	Size
  Washington DC Mall	[download link]	6.27G
  Pavia Center	[download link]	11.34G
  Botswana	[download link]	8.28G

• Full-resolution dataset FR1 can be downloaded here. Also, we provided the prepared data used in this paper. Note that, if you use this dataset, please cite the second reference at the end of this page. Thank you!

  Dataset	Link	Size
  FR1	[download link]	3.08G

Download by Baidu Cloud

• Use [Baidu Cloud] to download these datasets.

• Reduced-resolution datasets used in this paper are Washington DC Mall, Pavia Center and Botswana Dataset. Here we provide complete training and testing data for download.

  Dataset	Link	Password
  Washington DC Mall	[download link]	ap12
  Pavia Center	[download link]	g118
  Botswana	[download link]	1w6e

• Full-resolution dataset FR1 can be downloaded here. Also, we provided the prepared data used in this paper. Note that, if you use this dataset, please cite the second reference at the end of this page. Thank you!

  Dataset	Link	Password
  FR1	[download link]	3951

Reference

If use these datasets, please cite the following related paper:

@ARTICLE{zhuo2022jstars,
  author={Zhuo, Yu-Wei and Zhang, Tian-Jing and Hu, Jin-Fan and Dou, Hong-Xia and Huang, Ting-Zhu and Deng, Liang-Jian},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={A Deep-Shallow Fusion Network with Multi-Detail Extractor and Spectral Attention for Hyperspectral Pansharpening}, 
  year={2022},
  volume={15},
  number={},
  pages={7539-7555},
  doi={10.1109/JSTARS.2022.3202866}
}

If use the FR1 dataset, please cite the following related paper:

@article{vivone2022panchromatic,
  title={Panchromatic and hyperspectral image fusion: outcome of the 2022 whispers hyperspectral pansharpening challenge},
  author={Vivone, Gemine and Garzelli, Andrea and Xu, Yang and Liao, Wenzhi and Chanussot, Jocelyn},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={16},
  pages={166--179},
  year={2022},
  publisher={IEEE}
}

Contact:

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