Global and local modeling is essential for image super-resolution tasks.However, current efforts often lack explicit consideration of the cross-scale knowledge in large-scale earth observation scenarios, resulting in suboptimal single-scale representations in global and local modeling.The key motivation of this work is inspired by two observations:

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Protein-based textiles, such as wool and silk, possess special properties and they are ranked higher on the hierarchical scale than the cellulosic ones (e.g., cotton, linen, hemp), in terms of quality.Wool is cookie cutter shark plush composed of keratin as the main protein component and silk consists of approx.80% fibroin and 20% sericin.The degra

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