[Progressive Reconstruction Network With Adaptive Frequency Adjustment for Pansharpening]

(https://ieeexplore.ieee.org/document/10660478) (JSTARS 2024)

This is the PyTorch implementation of our paper:

Progressive Reconstruction Network With Adaptive Frequency Adjustment for Pansharpening (PRNet)

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Xin Zhao; Yueting Zhang; Jiayi Guo; Yangguang Zhu; Guangyao Zhou; Wenyi Zhang; Yirong Wu

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Datasets

We use public available datasets PanCollection.

Train the Model

1. You need to specific the data root of the training data root and validation data root
2. train the model

demo

python train.py --ds=${wv3} 

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Test the Model

Test the model on Reduce Resolution

python eval_rr.py --ds=${wv3}

Test the model on Full Resolution

For full resolution evaluation, please refer to DLPAN-Toolbox

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Citation

If you find this repo is helpful to your research. Please consider cite our work.

@ARTICLE{10660478,
  author={Zhao, Xin and Zhang, Yueting and Guo, Jiayi and Zhu, Yangguang and Zhou, Guangyao and Zhang, Wenyi and Wu, Yirong},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, 
  title={Progressive Reconstruction Network With Adaptive Frequency Adjustment for Pansharpening}, 
  year={2024},
  volume={17},
  number={},
  pages={17382-17397},
  doi={10.1109/JSTARS.2024.3452311}}