AI RESEARCH
Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark
arXiv CS.CV
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ArXi:2603.00543v2 Announce Type: replace 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