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MaDiNet: Mamba Diffusion Network for SAR Target Detection

👑We're quite intrigued by MaDiNet and hope it can serve as a delightful spark of inspiration for more friends to delve into this fascinating field.

🛠️ Updates

• (10/2024) Code is released.
• complete code will be immediately updated once our paper is accepted.

License

This project is under the CC-BY-NC 4.0 license. See LICENSE for details.

💡 Citing DiffDet4SAR and MaDiNet

If you find DiffDet4SAR and MaDiNet helpful to your research or wish to refer to the baseline results published here, please use the following BibTeX entry.

@ARTICLE{10494361,
  author={Zhou, Jie and Xiao, Chao and Peng, Bo and Liu, Zhen and Liu, Li and Liu, Yongxiang and Li, Xiang},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={DiffDet4SAR: Diffusion-Based Aircraft Target Detection Network for SAR Images}, 
  year={2024},
  volume={21},
  number={},
  pages={1-5},
  keywords={Aircraft;Object detection;Radar polarimetry;Feature extraction;Scattering;Noise;Convolution;Aircraft target detection;diffusion model;synthetic aperture radar (SAR)},
  doi={10.1109/LGRS.2024.3386020}}

The BibTex of MaDiNet is on her way🥰

@misc{zhou2024madinetmambadiffusionnetwork,
      title={MaDiNet: Mamba Diffusion Network for SAR Target Detection}, 
      author={Jie Zhou and Chao Xiao and Bowen Peng and Tianpeng Liu and Zhen Liu and Yongxiang Liu and Li Liu},
      year={2024},
      eprint={2411.07500},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2411.07500}, 
}

Please light up the STAR⭐⭐⭐⭐⭐ to encourage more and more opensource on SAR image interpretations!

🥰🥳🥂