Hierarchical Progressive Distillation for Image Super-Resolution of Remote Sensing
Remote sensing image super-resolution (SR) fundamentally relies on effective feature representation learning. However, the existing methods that adopt mainstream architecture designs, such as transformer and state space model (SSM), are often restricted by two factors when dealing with the SR of remote sensing images....