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EEMSAGAN: edge-enhanced multi-scale attention generative adversarial network for remote sensing image super-resolution
This paper develops a dual-path generator architecture: the standard path thoroughly extracts deep high-level features, while the auxiliary path preserves prior information and high-frequency details, and introduces a multi-scale feature extraction module to boost the model’s ability to capture features at various scal...