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SGUMLP

This Keras code is for the paper A. Jamali, Ali and Roy, Swalpa Kumar and Hong, Danfeng and Atkinson, Peter M and Ghamisi, Pedram, "[Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping]," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.3354175 [https://ieeexplore.ieee.org/document/10399888/]

Install / Use

/learn @aj1365/SGUMLP
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping

Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M Atkinson, and Pedram Ghamisi

<img src="Diagram.jpg"/> <img src="MLP-Mixer.jpg"/>

This Keras code is for the paper A. Jamali, Ali and Roy, Swalpa Kumar and Hong, Danfeng and Atkinson, Peter M and Ghamisi, Pedram, "[Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping]," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.3354175 [https://ieeexplore.ieee.org/document/10399888/].

Citation

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

    @article{10399888,
            title={Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping},
            author={Jamali, Ali and Roy, Swalpa Kumar and Hong, Danfeng and Atkinson, Peter M and Ghamisi, Pedram},
            journal={IEEE Geoscience and Remote Sensing Letters}, 
            year={2024},
            volume={},
            number={},
            pages={1-5},
            doi={10.1109/LGRS.2024.3354175}
            }

Acknowledgement

The Mixer block is implementated from MLP-Mixer.

License

Copyright (c) 2023 Ali Jamali. Released under the MIT License. See LICENSE for details.

Related Skills

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GitHub Stars11
CategoryDevelopment
Updated8mo ago
Forks2

Languages

Jupyter Notebook

Security Score

82/100

Audited on Aug 11, 2025

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