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Implementation of VP-Net: An Interpretable Deep Network for Variational Pansharpening

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VP-Net

Implementation of VP-Net: An Interpretable Deep Network for Variational Pansharpening

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To Train:

Run "CUDA_VISIBLE_DEVICES=0 python train.py" to train the network.

To Test:

Run "CUDA_VISIBLE_DEVICES=0 python test.py" to test the network.

running environment : python=3.7, tensorflow-gpu=1.15.0.

If this work is helpful to you, please cite it as:

  @article{tian2021vp,
    title={VP-Net: An Interpretable Deep Network for Variational Pansharpening},
    author={Xin Tian, Kun Li, Zhongyuan Wang, and Jiayi Ma},
    journal={IEEE Transactions on Geoscience and Remote Sensing},
    volume={},
    pages={1-16},
    year={2021},
    doi={10.1109/TGRS.2021.3089868},
    publisher={IEEE}
  } 

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Implementation of VP-Net: An Interpretable Deep Network for Variational Pansharpening

License:MIT License


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