Hyperspectral Image Change Detection Based on Gated Spectral–Spatial–Temporal Attention Network With Spectral Similarity Filtering

The code in this toolbox implements the "Hyperspectral Image Change Detection Based on Gated Spectral–Spatial–Temporal Attention Network With Spectral Similarity Filtering".

Citation

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

@ARTICLE{10460568,
  author={Yu, Haoyang and Yang, Hao and Gao, Lianru and Hu, Jiaochan and Plaza, Antonio and Zhang, Bing},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Hyperspectral Image Change Detection Based on Gated Spectral–Spatial–Temporal Attention Network With Spectral Similarity Filtering}, 
  year={2024},
  volume={62},
  number={},
  pages={1-13},
  keywords={Hyperspectral imaging;Feature extraction;Logic gates;Filtering;Computational modeling;Data mining;Vectors;Attention mechanism;change detection (CD);deep learning;hyperspectral images},
  doi={10.1109/TGRS.2024.3373820}
}

How to use it?

python demo.py --dataset='farmland'