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HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images

This repository is a PyTorch implementation for our Remote Sensing paper.
HRCNet Framework

Usage

Version pytorch >=1.1, we advise torch1.6.
Training

sh auto_train.sh

Testing

python test.py

Restore image

python produce_result.py

Count metrics

python count_metrics.py

Acknowledgments

Thanks the ISPRS for providing the Potsdam and Vaihingen datasets.

Citation

@article{xu2020hrcnet,
  title={HRCNet: high-resolution context extraction network for semantic segmentation of remote sensing images},
  author={Xu, Zhiyong and Zhang, Weicun and Zhang, Tianxiang and Li, Jiangyun},
  journal={Remote Sensing},
  volume={13},
  number={1},
  pages={71},
  year={2020},
  publisher={MDPI}
}

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SOTA method on Potsdam and Vaihingen datasets, based on HRNet.

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