danaroth/hsir

Description

This is a collection of models supported by the hyperspectral image restoration (HSIR) toolbox, developed by Intelligent Sensing and Processing Laboratory (BIT ISP lab) at Beijing Institute of Technology.

The original repository is available at: https://github.com/bit-isp/HSIR and models were originally downloaded at the following link: https://1drv.ms/u/s!AuS3o7sEiuJnf6F4THmqDMtDCwQ?e=JpfLP3

Citation

To cite the original repository:

@misc{hsir,
    author={Zeqiang Lai, Miaoyu Li, Ying Fu},
    title={HSIR: Out-of-box Hyperspectral Image Restoration Toolbox},
    year={2022},
    url={https://github.com/bit-isp/HSIR},
}

For each of the model please cite:

• HSID-CNN

  @ARTICLE{yuan2019,
    author={Q. {Yuan} and Q. {Zhang} and J. {Li} and H. {Shen} and L. {Zhang}},
    journal={IEEE Trans. Geosci. Remote Sens.},
    title={Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network},
    year={2019},
    volume={57},
    number={2},
    pages={1205-1218},
    month={Feb.},
  }
  

• QRNN3D

  @article{wei2020QRNN3D,
    title={3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising},
    author={Wei, Kaixuan and Fu, Ying and Huang, Hua},
    journal={IEEE Transactions on Neural Networks and Learning Systems},
    year={2020},
    publisher={IEEE}
  }
  

• TS3C

  @article{bodrito2021trainable,
    title={A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration},
    author={Bodrito, Theo and Zouaoui, Alexandre and Chanussot, Jocelyn and Mairal, Julien},
    journal={Adv. in Neural Information Processing Systems (NeurIPS)},
    year={2021}
  }
  

• GRUNet

  @article{lai2022dphsir,
    title = {Deep plug-and-play prior for hyperspectral image restoration},
    journal = {Neurocomputing},
    volume = {481},
    pages = {281-293},
    year = {2022},
    issn = {0925-2312},
    doi = {https://doi.org/10.1016/j.neucom.2022.01.057},
    author = {Zeqiang Lai and Kaixuan Wei and Ying Fu},
  }
  

• SST

  @inproceedings{li2023spatial,
    title={Spatial-Spectral Transformer for Hyperspectral Image Denoising},
    author={Li, Miaoyu and Fu, Ying and Zhang, Yulun},
    booktitle={AAAI},
    year={2023}
  }
  

• SERT

  @inproceedings{li2023spectral,
    title={Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising},
    author={Miaoyu Li and Ji Liu and Ying Fu and Yulun Zhang and Dejing Dou},
    booktitle={CVPR},
    year={2023}
  }
  

• MAN

  @article{lai2023mixed,
    title={Mixed Attention Network for Hyperspectral Image Denoising},
    author={Lai, Zeqiang and Fu, Ying},
    journal={arXiv preprint arXiv:2301.11525},
    year={2023}
  }
  

• HSDT

  @inproceedings{lai2023hsdt,
    author = {Lai, Zeqiang and Chenggang, Yan and Fu, Ying},
    title = {Hybrid Spectral Denoising Transformer with Guided Attention},
    booktitle={Proceedings of the IEEE International Conference on Computer Vision},
    year = {2023},
  }