Published June 20, 2024 | Version 1.0
Model Open

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

  • 1. ROR icon The University of Tokyo
  • 2. ROR icon RIKEN Center for Advanced Intelligence Project
  • 3. ROR icon Wuhan University

Description

Checkpoints and prediction results of ChangeMamba

ChangeMamba serves as a strong benchmark for change detection tasks, including binary change detection (MambaBCD), semantic change detection (MambaSCD), and building damage assessment (MambaBDA).

For more details, please refer to our paper and visit our GitHub repo.

Citation

If you find ChangeMamba useful in your research, please kindly consider citing:

@ARTICLE{Chen2024ChangeMamba,
  author={Chen, Hongruixuan and Song, Jian and Han, Chengxi and Xia, Junshi and Yokoya, Naoto},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model}, 
  year={2024},
  volume={62},
  number={},
  pages={1-20},
  doi={10.1109/TGRS.2024.3417253}
}

Files

prediction.zip

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Additional details

Related works

Is described by
Journal: 10.1109/TGRS.2024.3417253 (DOI)

Software

Repository URL
https://github.com/ChenHongruixuan/MambaCD
Programming language
Python
Development Status
Active

References

  • H. Chen, J. Song, C. Han, J. Xia and N. Yokoya, "ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-20, 2024, Art no. 4409720, doi: 10.1109/TGRS.2024.3417253.