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.

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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