Abstract: Semantic segmentation of remote sensing images aims to assign semantic labels to each pixel in the image, serving as a key technology for achieving precise ground object interpretation.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
Abstract: Remote sensing image super-resolution (RSISR) aims to reconstruct high-resolution (HR) remote sensing (RS) images from low-resolution (LR) RS image inputs by overcoming the physical ...