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

Train CALC

python Model/demo.py

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

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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