Datasets:
metadata
pretty_name: PanScale
license: cc-by-4.0
task_categories:
- image-to-image
tags:
- remote-sensing
- pansharpening
- multispectral
- panchromatic
size_categories:
- 1K<n<10K
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
Citation information will be added after the paper is publicly available.
@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}
}