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LICENSE (35149, 2023-09-19)

# HyperPanCollection ## Hyperspectral Pansharpening Datasets: Washington DC Mall, Pavia Center, Botswana and a real (or full-resolution) dataset FR1. * ``Homepage:`` [Liang-Jian Deng](https://liangjiandeng.github.io/) and [Yu-Wei Zhuo](https://pluto-wei.github.io/) * ``Recommendation:`` Use the code [[Hyper-DSNet](https://github.com/liangjiandeng/Hyper-DSNet)] + the dataset [[HyperPanCollection](https://github.com/liangjiandeng/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](https://liangjiandeng.github.io/papers/2022/zhuo-jstars2022.pdf)] * Also, a dataset [[PanCollection](https://github.com/liangjiandeng/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](https://drive.google.com/drive/folders/1k9beAcd9x3ZLJOL1TWvJ0KYbzLDrYLaG?usp=sharing)] | 6.27G | | Pavia Center | [[download link](https://drive.google.com/drive/folders/1qXCgWwh6PIMNv2_Caw7-mHoPFgb08V0x?usp=sharing)] | 11.34G | | Botswana | [[download link](https://drive.google.com/drive/folders/1Pafc9fR-nIr-n8bPRJyhL7oX9rNUxbr5?usp=sharing)] | 8.28G | * ```Full-resolution dataset``` FR1 can be downloaded [here](https://openremotesensing.net/hyperspectral-pansharpening-challenge/). 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](https://drive.google.com/drive/folders/1Rz1ehk8SJPWX1rtal695p2Z-thCjrJS3?usp=sharing)] | 3.08G | ## Download by ``Baidu Cloud`` * Use [[Baidu Cloud](https://pan.baidu.com/pcloud/home)] 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](https://pan.baidu.com/s/120NwAPBZEICRk-lQPCl8Rg)] | ap12 | | Pavia Center | [[download link](https://pan.baidu.com/s/1cp9mdh0EutJZyoCi2yyWZw)] | g118 | | Botswana | [[download link](https://pan.baidu.com/s/1coTz6eBt26Ks4kswAio2Fw)] | 1w6e | * ```Full-resolution dataset``` FR1 can be downloaded [here](https://openremotesensing.net/hyperspectral-pansharpening-challenge/). 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](https://pan.baidu.com/s/1cuglyEGSejCFOXC7Epg8yQ)] | 3951 | # Reference If use these datasets, please cite the following related paper: ```bibtex @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: ```bibtex @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: We are glad to hear from you. If you have any questions, please feel free to contact Yuuweii@yeah.net.

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