ConvAttentionNet: a high-performance model for efficient and accurate PolSAR data classification

Mohammed Q. Alkhatib, Ali Jamali, and Avik Bhattacharya

This Keras code is for the paper Alkhatib MQ, Jamali A and Bhattacharya A (2025) "ConvAttentionNet: a high-performance model for efficient and accurate PolSAR data classification," in Front. Remote Sens, 6:1680450, doi: 10.3389/frsen.2025.1680450 [https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2025.1680450/full].

Citation

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

@article{Alkhatib2025,
    title={ConvAttentionNet: a high-performance model for efficient and accurate PolSAR data classification},
    author={Alkhatib MQ, Jamali A and Bhattacharya A },
    journal={Front. Remote Sens},
    volume={6},
    pages={1680450},
    year={2025},
    publisher={frontiers}
}

License

Copyright (c) 2025 Ali Jamali. Released under the MIT License. See LICENSE for details.