N. S. T. Hirata

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...