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Here are the codes for the "3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer" paper.

License: Apache License 2.0

Jupyter Notebook 100.00%
convolutional-neural-networks deep-learning generative-adversarial-network machine-learning unet-keras wetlands image-classification remote-sensing vision-transformer

3dunetgsformer's Introduction

3DUNetGSFormer

Here is the codes developed for our paper titled "3DUNetGSFormer: A Deep Learning Pipeline for Complex Wetland Mapping using Generative Adversarial Networks and Swin Transformer" published in Ecological Informatics journal.

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Cite our paper at:

Ali Jamali, Masoud Mahdianpari, Brian Brisco, Dehua Mao, Bahram Salehi, Fariba Mohammadimanesh, 3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer, Ecological Informatics, 2022, 101904, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101904. (https://www.sciencedirect.com/science/article/pii/S1574954122003545)

Ali Jamali, Masoud Mahdianpari, Brian Brisco, Dehua Mao, Bahram Salehi, Fariba Mohammadimanesh, 3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer, Ecological Informatics, Volume 72, 2022, 101904, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101904.

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3dunetgsformer's Issues

data

great work, thank you for exposing the code, I saw your code when this place .csv file is not quite understand what? Could you please explain this figure? Or could you please disclose the data? I'd like to use your code

fileName=['SA_trainData.csv', 'SA_testData.csv']

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