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D. Szwarcman

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Open access 2026

Frequency-Conditioned GAN for Remote Sensing Image Super-Resolution

Remote sensing image super-resolution aims to recover fine spatial details lost during image acquisition, yet most existing deep learning methods often struggle to faithfully reconstruct high-frequency details and maintain spectral fidelity. To address these limitations, we build FC-GAN, a frequency-conditioned model t...

Victor Nascimento Ribeiro, Jorge Guevara, D. Szwarcman et al. · 0 citations

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