/GGCL_HSI

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Enhancing Hyperspectral Image Classification:Leveraging Unsupervised Information With Guided Group Contrastive Learning

Ben Li, Leyuan Fang, Ning Chen, Jitong Kang, Jun Yue


The code in this toolbox implements the "Enhancing Hyperspectral Image Classification:Leveraging Unsupervised Information With Guided Group Contrastive Learning".

The codes for this research include the GGCL network model: ./src/models/cross_transformer.py.

More specifically, it is detailed as follow.

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Citation

Please kindly cite the papers if this code is useful and helpful for your research.

B. Li, L. Fang, N. Chen, J. Kang and J. Yue, "Enhancing Hyperspectral Image Classification: Leveraging Unsupervised Information With Guided Group Contrastive Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2024.3350700.
@ARTICLE{10382626,
  author={Li, Ben and Fang, Leyuan and Chen, Ning and Kang, Jitong and Yue, Jun},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Enhancing Hyperspectral Image Classification: Leveraging Unsupervised Information With Guided Group Contrastive Learning}, 
  year={2024},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TGRS.2024.3350700}}

Licensing

Copyright (C) 2023 Ning Chen

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.