A one-shot pansharpening method that alternates random low- and full-resolution training per image pair, with a warm-up phase, achieves state-of-the-art full-resolution fusion quality on WV3, QB, and GF2 datasets.
Pancsc-net: A model-driven deep unfolding method for pansharpening
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Two-Stage Random Alternation Framework for One-Shot Pansharpening
A one-shot pansharpening method that alternates random low- and full-resolution training per image pair, with a warm-up phase, achieves state-of-the-art full-resolution fusion quality on WV3, QB, and GF2 datasets.