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Code for TGRS 2022 paper "Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images"

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FusionMixer (TGRS-2022)

This repository is for our TGRS paper (2022): "Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images". Please refer to https://ieeexplore.ieee.org/abstract/document/9895454.

The S2UV dataset is obtained from https://www.scidb.cn/en/detail?dataSetId=14e27d8c51ec40079b84591e9bb24df6.

The RsSt-ShenzhenUV is obtained from: 链接:https://pan.baidu.com/s/1ChKks1_FxIjPe2V64MgZ0w?pwd=bt9q  提取码:bt9q

If it is helpful for you, please cite the following references.

@ARTICLE{RunyuFan,

  author={Fan, Runyu and Li, Jun and Li, Fengpeng and Han, Wei and Wang, Lizhe},

  journal={IEEE Transactions on Geoscience and Remote Sensing}, 

  title={Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images}, 

  year={2022},

  volume={60},
  
  number={},

  pages={1-13},

  doi={10.1109/TGRS.2022.3208166}, 
  
  url={https://ieeexplore.ieee.org/document/9895454}
  
}

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Code for TGRS 2022 paper "Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images"

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