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Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network

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Liyong8490/HSI-SR-GDRRN

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HSI-SR-GDRRN implementation by Pytorch

Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network

Dependencies

  • To generate datasets, you need matlab.
  • To train and test GDRRN, you need python3.6 with scipy, numpy, pytorch, scikit-image, PIL, h5py.

Training and testing dataset

  • To generate datasets, please read README.md in folder 'generate_training_dataset/'.

Training

  • run 'train_GDRRN.py'

Testing

  • run 'ValidateResult_x*.py'

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Single Hyperspectral Image Super-Resolution with Grouped Deep Recursive Residual Network

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