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/SGUMLPREADME
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.
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