Residual Augmented Attentional U-Shaped Network for Spectral Reconstruction from RGB Images

Environment

• Ubuntu 16
• Pytorch 1.6.0
• Python 3.6
• opencv-python

Download Models and Datasets

• Models and datasets are available at the Baidu Yun(Password:2022).

Running Codes

• 'python eval.py' for the reconstructed hyperspectral results.
• 'python evaluation.py' for the MRAE and RMSE scores.

Citation

• If the the work or the code is helpful, please cite the paper:

  @article{li2020residual,
  title={Residual Augmented Attentional U-Shaped Network for Spectral Reconstruction from RGB Images},
  author={Li, Jiaojiao and Wu, Chaoxiong and Song, Rui and Li, Yunsong and Xie, Weiying},
  journal={Remote Sensing},
  volume={13},
  number={1},
  pages={115},
  year={2020},
  publisher={MDPI}
  }