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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

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/1NVu1yWH7cnFf56iHuakJZw(Extraction code:7ifc)

Acknowledgments

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