Datasetpublic

kecao/PanScale

PanScale Dataset Summary PanScale is a remote-sensing pansharpening dataset with paired multispectral (ms) and panchromatic (pan) TIFF images for cross-scale evaluation. Total pairs: 7,559 Disk size: ~6.9 GB Format: 8-bit TIFF Supported Tasks Image Fusion (Cross-scale Pansharpening) Subsets at a Glance Subset Splits # Pairs MS size PAN size PAN/MS scale jilin train200, test200/400/800 1,157 200-800 200-800 1.0… See the full description on the dataset page: https://huggingface.co/datasets/kecao/PanScale.

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Dataset Card

PanScale

![arXiv](https://arxiv.org/abs/2603.00543) ![GitHub](https://github.com/caoke-963/ScaleFormer) ![Hugging Face Dataset](https://huggingface.co/datasets/kecao/PanScale)

Dataset Summary

PanScale is a remote-sensing pansharpening dataset with paired multispectral (ms) and panchromatic (pan) TIFF images for cross-scale evaluation.

—Total pairs: 7,559
—Disk size: ~6.9 GB
—Format: 8-bit TIFF

Supported Tasks

—Image Fusion (Cross-scale Pansharpening)

Subsets at a Glance

Subset	Splits	# Pairs	MS size	PAN size	PAN/MS scale
`jilin`	`train200`, `test200/400/800`	1,157	200-800	200-800	1.0
`landsat`	`train256`, `test200/400/800/1600`	2,868	200-1600	200-1600	1.0
`skysat`	`train200`, `test200/400/800/1600`	2,722	200-1600	200-1600	1.0
`fjilin`	`test800/1200/1600/2000`	484	200-500	800-2000	4.0
`flandsat`	`test800/1200/1600/2000`	192	400-1000	800-2000	2.0
`fskysat`	`test800/1200/1600/2000`	136	320-800	800-2000	2.5

Data Fields

—ms: 4-channel multispectral image (.tif)
—pan: 1-channel panchromatic image (.tif)
—id: filename stem (integer)

Intended Use

—Pansharpening training and evaluation
—Cross-scale robustness analysis

License

This dataset is released under CC BY 4.0.

Citation

bibtex

@article{cao2026cross,
  title={Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark},
  author={Cao, Ke and He, Xuanhua and Li, Xueheng and Zhu, Lingting and Wang, Yingying and Ma, Ao and Zhang, Zhanjie and Zhou, Man and Xie, Chengjun and Zhang, Jie},
  journal={arXiv preprint arXiv:2603.00543},
  year={2026}
}