The is the pytorch code for paper "Multilayer Degradation Representation-Guided Blind Super-Resolution for Remote Sensing Images",TGRS 2022.
In this work, two widely used remote sensing datasets, i.e., AID and WHU-RS19, are adopted,in which the AID dataset is employed to train the proposed model and the WHU-RS19 dataset is used to test the SR performance of all considered approaches.
You can add the network model (MDRGB.py) to the framework you designed for training, or you can refer to the open source code of RCAN.