Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark
Pansharpening aims to generate high-resolution multi-spectral images by fusing the spatial detail of panchromatic images with the spectral richness of low-resolution MS data. However, most existing methods are evaluated under limited, low-resolution settings, limiting their generalization to real-world, high-resolution scenarios. To bridge this gap, we systematically investigate the data, algorithmic, and computational challenges of cross-scale pansharpening. We first introduce PanScale, the first large-scale, cross-scale pansharpening dataset, accompanied by PanScale-Bench, a comprehensive benchmark for evaluating generalization across varying resolutions and scales. To realize scale gen...
| Authors | Ke Cao, Xuanhua He, Xueheng Li et al. |
|---|---|
| Primary category | cs.CV |
| Published | 28 February 2026 |
| Last updated at source | 6 March 2026 |
Models and datasets referencing this paper
- kecao/PanScaleDataset
- LLLIUU/PanScaleDataset
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