Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification, JSTARS, 2020

Bobo Xi, Jiaojiao Li, Yunsong Li, Rui song, Yanzi Shi, Songlin Liu and Qian Du.

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Demo for the paper: Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification.
(The complete project will be soon released after the related work is done)

Fig. 1: Architectures of our proposed DPN-HRA for HSI classification. HRA-based FE includes the parts of 1-D, 2-D, and 3-D FE. The RBAM and RSAM are integrally defined as the HRA module.

References

If you find this code helpful, please kindly cite:

[1]B. Xi, J. Li, Y. Li, R. Song, Y. Shi, S. Liu, Q. Du "Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 3683-3700, 2020, doi: 10.1109/JSTARS.2020.3004973.

[2] B. Xi, J. Li, Y. Li, R. Song, Y. Xiao, Q. Du, J. Chanussot, “Semisupervised Cross-scale Graph Prototypical Network for Hyperspectral Image Classification,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2022, doi: 10.1109/TNNLS.2022.3158280.

Citation Details

BibTeX entry:

@ARTICLE{Xi2020JSTARS,
  author={Xi, Bobo and Li, Jiaojiao and Li, Yunsong and Song, Rui and Shi, Yanzi and Liu, Songlin and Du, Qian},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification}, 
  year={2020},
  volume={13},
  number={},
  pages={3683-3700},
  doi={10.1109/JSTARS.2020.3004973}}

@ARTICLE{Xi_2022TNNLS_XGPN,
 author={Xi, Bobo and Li, Jiaojiao and Li, Yunsong and Song, Rui and Xiao, Yuchao and Du, Qian and Chanussot, Jocelyn},
 journal={IEEE Transactions on Neural Networks and Learning Systems}, 
 title={Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification}, 
 year={2022},
 volume={},
 number={},
 pages={1-15},
 doi={10.1109/TNNLS.2022.3158280}}

Licensing

Copyright (C) 2020 Bobo Xi

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program.