| --- |
| 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 |
|
|
| [](https://arxiv.org/abs/2603.00543) |
| [](https://github.com/caoke-963/ScaleFormer) |
| [](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} |
| } |
| ``` |
|
|
