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：(2024/08/27 released)
通过百度网盘分享的文件：樊润宇-RsSt-ShenzhenUV数据集.zip 链接：https://pan.baidu.com/s/1ShWdyU6TaZ85WNLLfAasTw?pwd=rx35 提取码：rx35 --来自百度网盘超级会员V4的分享
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}
}