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Implementation of HyperNet: A deep network for hyperspectral, multispectral, and panchromatic image fusion

License: MIT License

Python 87.03% MATLAB 12.97%

hypernet's Introduction

HyperNet: A deep network for hyperspectral, multispectral, and panchromatic image fusion

image

image

To Train:

Run "python train_demo_cave.py" to train the network for CAVE dataset.

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

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

  @article{li2022hypernet,
    title={HyperNet: A deep network for hyperspectral, multispectral, and panchromatic image fusion},
    author={Kun Li, Wei Zhang, Dian Yu, Xin Tian},
    journal={ISPRS Journal of Photogrammetry and Remote Sensing},
    volume={188},
    pages={30-44},
    year={2022},
    doi={https://doi.org/10.1016/j.isprsjprs.2022.04.001}
  } 

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