This code is for "Hyperspectral Remote Sensing Imagery Generation From RGB Images Based on Joint Discrimination".
Please kindly cite this paper if you use this code.

@article{liu2021hyperspectral,
  title={Hyperspectral Remote Sensing Imagery Generation From RGB Images Based on Joint Discrimination},
  author={Liu, Liqin and Lei, Sen and Shi, Zhenwei and Zhang, Ning and Zhu, Xinzhong},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={14},
  pages={7624--7636},
  year={2021},
  publisher={IEEE}
}

The code is to generate hyperpsectral imagery from RGB images.

Main Requirements:
Python 3.5.2 
Pytorch 1.4.0
Gdal 2.2.2

Training:
1. new package and put training dataset in ./datasets/g5pairs/train/hyper(multi)/*.tif 
2. new package ./g5pair_results
3. open visdom
4.python pytorch_pix2pix_new.py

Testing:

1. new package and put training dataset in ./datasets/g5pairs/train/multi/*.tif 
2. python pytorch_pix2pix_test.py

Evaluate:
1. python performance_cal.py, get MPSNR, MRAE, RMSE, SAM, SSIM.