ExViT

Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework

A joint work with Danfeng Hong.

Users can manually download the investigated Houston 2013 datasets through:

Baidu Cloud Disk: https://pan.baidu.com/s/1bBQXAWam2GOwZN9obtCrfQ?pwd=rwu5 using key: rwu5.

Google Drive: https://drive.google.com/drive/folders/1JgFiIQdhu6LZRawUxv2AMqebnZ4SAY0O?usp=drive_link

Citation

Please kindly cite the papers if this code is useful and helpful for your research.

Jing Yao, Bing Zhang, Chenyu Li, Danfeng Hong, Jocelyn Chanussot. Extended vision transformer (ExViT) for land use and land cover classification: A multimodal deep learning framework, IEEE Transactions on Geoscience and Remote Sensing, 2023, vol. 61, pp. 1-15, Art no. 5514415, doi: 10.1109/TGRS.2023.3284671.

@article{yao2023extended,
  title={Extended vision transformer (ExViT) for land use and land cover classification: A multimodal deep learning framework},
  author={Yao, Jing and Zhang, Bing and Li, Chenyu and Hong, Danfeng and Chanussot, Jocelyn},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2023},
  volume={61},
  pages={1-15},
  note={DOI: 10.1109/TGRS.2023.3284671},
  publisher={IEEE}
}