A Joint Spatial–Frequency Network with a Multi-Dimensional Loss Function for Remote Sensing Image Super-Resolution
Remote sensing image super-resolution (SR) aims to recover high-resolution images from low-resolution observations, but existing deep networks often emphasize spatial-domain modeling and pixel-wise optimization, which may limit their ability to restore high-frequency textures and preserve perceptual structures. To addr...