CALC

The repository contains the implementations for "Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data". You can find the PDF of this paper.

Datasets

• MUUFL
• Trento
• Houston2013

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  Train CALC

  python Model/demo.py

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  Results

  Dataset	OA (%)	AA (%)	Kappa (%)
  MUUFL	82.90	79.65	77.89
  Trento	99.36	98.52	99.14
  Houston	94.77	95.36	94.34

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  Citation

  If you find this paper useful, please cite:

  @article{LU2023118,
  title = {Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data},
  journal = {Information Fusion},
  volume = {93},
  pages = {118-131},
  year = {2023},
  issn = {1566-2535},
  doi = {https://doi.org/10.1016/j.inffus.2022.12.020},
  url = {https://www.sciencedirect.com/science/article/pii/S156625352200269X},
  author = {Ting Lu and Kexin Ding and Wei Fu and Shutao Li and Anjing Guo}
  }

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  Contact

  Kexin Ding: dingkexin@hnu.edu.cn