Asymmetric Bidirectional Fusion Network for Remote Sensing Pansharpening (TGRS 2023)

This is the PyTorch implementation of our paper:

Asymmetric Bidirectional Fusion Network for Remote Sensing Pansharpening (ABFNet)

IEEE Transactions on Geoscience and Remote Sensing

Xin Zhao; Jiayi Guo; Yueting Zhang; Yirong Wu

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Train the Model

1. You need to specific the training configs at configs folder
2. train the model using the configs

demo

python train.py -c configs/config_QB.json 

The number of training set should larger than batch size, otherwise the UnboundLocalError: local variable 'loss' referenced before assignment will occur

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Test the Model

• Test the model on Reduce Resolution

python test_rr.py -c configs/config_QB.json

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Citation

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

@ARTICLE{10185614,
  author={Zhao, Xin and Guo, Jiayi and Zhang, Yueting and Wu, Yirong},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Asymmetric Bidirectional Fusion Network for Remote Sensing Pansharpening}, 
  year={2023},
  volume={61},
  number={},
  pages={1-16},
  doi={10.1109/TGRS.2023.3296510}}