UACL

The repository contains the implementations for "Uncertainty-Aware Contrastive Learning for Semi-Supervised Classification of Multimodal Remote Sensing Images".You can find the PDF of this paper.

Datasets

• Houston
• Trento
• MUUFL
• Augsburg

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  Train UACL

  python Model/demo.py

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  Results

  Dataset	OA (%)	AA (%)	Kappa (%)
  Houston	95.37	95.99	95.00
  Trento	99.11	98.10	98.81
  MUUFL	88.29	89.11	84.78
  Augsburg	89.19	74.30	84.80

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  Citation

  If you find this paper useful, please cite:

  @ARTICLE{10540387,
  author={Ding, Kexin and Lu, Ting and Li, Shutao},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Uncertainty-Aware Contrastive Learning for Semi-Supervised Classification of Multimodal Remote Sensing Images}, 
  year={2024},
  volume={62},
  number={},
  pages={1-13},
  doi={10.1109/TGRS.2024.3406690}}

  ---

  Contact

  Kexin Ding: dingkexin@hnu.edu.cn