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GLT-Net

The repository contains the implementations for "Global-local Transformer Network for HSI and LiDAR Data Joint Classification". You can find the PDF of this paper. GLT-Net


Datasets


Train GLT-Net

python demo.py

Results

Dataset OA (%) AA (%) Kappa (%)
MUUFL 85.23 84.67 80.96
Trento 99.27 98.63 99.03
Houston 95.32 96.01 94.95

Citation

If you find this paper useful, please cite:

@ARTICLE{9926173,
  author={Ding, Kexing and Lu, Ting and Fu, Wei and Li, Shutao and Ma, Fuyan},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Global–Local Transformer Network for HSI and LiDAR Data Joint Classification}, 
  year={2022},
  volume={60},
  number={},
  pages={1-13},
  doi={10.1109/TGRS.2022.3216319}}
}

Contact

Kexin Ding: [email protected]

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