RRCGAN：A Radiometric Resolution Compression Method for Optical Remote Sensing Images Using Contrastive Learning

Prerequisites

• Linux or macOS
• Python 3
• CPU or NVIDIA GPU + CUDA CuDNN

Update log

5/5/2024: Added related codes.

RRCGAN Train and Test

• Train the RRCGAN model:

python train.py --dataroot XXX --name XXX

• Test the RRCGAN model:

python test.py --dataroot XXX --name XXX

Datesets

All the data mentioned in the article has been uploaded to Baidu Cloud, link is:https://pan.baidu.com/s/1C45OYUsjJ4kO7GIkqCQSOQ(r64k)

Acknowledgments

Our code is developed based on contrastive-unpaired-translation and Hneg_SRC . We also thank pytorch-fid for FID computation.