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.
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)
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.
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}}
Copyright (C) 2020 Bobo Xi
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You should have received a copy of the GNU General Public License along with this program.