OFTNet: Omni-Feature and Texture-Aware Enhancement Learning Network for Continuous Remote Sensing Image Super-Resolution (opens in new tab)

Continuous-scale super-resolution (CSSR) for remote sensing images (RSIs) offers critical flexibility for diverse Earth observation tasks, overcoming the fixed-scale limitations of conventional SR methods. However, current CSSR methods are primarily tailored for natural images, failing to address the unique characteristics of remote sensing scenes. Unlike object-centric natural images with clear foregrounds, RSIs feature arbitrary orientations, vast scale variations, and dense repetitive patt...