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 # ExViT
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+![alt text](./Workflow_ExViT.png)
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 [Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework](https://ieeexplore.ieee.org/document/10147258)
 
 A joint work with [Danfeng Hong](https://github.com/danfenghong).
 
 Users can manually download the investigated Houston 2013 datasets on https://pan.baidu.com/s/1bBQXAWam2GOwZN9obtCrfQ?pwd=rwu5 using key: rwu5.
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+Citation
+---------------------
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+**Please kindly cite the papers if this code is useful and helpful for your research.**
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+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}
+    }