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Convolution Transformer Fusion Splicing Network for Hyperspectral Image Classification (CTFSN)

The paper titled "Convolution Transformer Fusion Splicing Network for Hyperspectral Image Classification" has been accepted by GRSL in January 2023, which is an official implementation for CTFSN.

Citation

Zhao F., Li S., Zhang J., et al. Convolution Transformer Fusion Splicing Network for Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5501005.

or

@article{zhao2023convolution,

title={Convolution Transformer Fusion Splicing Network for Hyperspectral Image Classification},

author={Zhao, Feng and Li, Shijie and Zhang, Junjie and Liu, Hanqiang},

journal={IEEE Geoscience and Remote Sensing Letters},

volume={20},

pages={5501005},

year={2023},

publisher={IEEE}

}

Other

As a co-author, I encourage researchers to cite our latest work.

If you need this code, you can contact Shijie Li (lishijie@stu.xupt.edu.cn).

We encourage researchers to achieve different comparative experiments (papers) within a code framework, to achieve a fair comparison.

If you encounter any problems reproducing the code, please do not hesitate to contact us.

E-mail: junjiezhang98@yeah.net