RS_DRC

This is the code implementation of "Dynamic range compression method for high radiometric resolution remote sensing images using contrastive learning"

Prerequisites

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

Update log

4/10/2024:The dataset has been made public.

10/4/2024: Added related codes.

Train and Test

• Train the model:

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

• Test the 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/1mIpclz_UTShqAN8dF4zfww (Extraction code:ESWA)

Acknowledgments

Our code is developed based on contrastive-unpaired-translation ,F-LSeSim and Hneg_SRC