/PGNet

[Remote Sensing 2022] PGNet: Positioning Guidance Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Images

Primary LanguagePython

PGNet: Positioning Guidance Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Images

by Bo Liu, Jinwu Hu (co-first author), Xiuli Bi*, Weisheng Li, Xinbo Gao





This is an official implementation of PGNet in our Remote Sensing paper " PGNet: Positioning Guidance Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Images"

Note

Our code is based on the FactSeg implementation.

Citation

If you use PGNet in your research, please cite our Remote Sensing paper.

@article{liu2022pgnet,
  title={PGNet: Positioning Guidance Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Images},
  author={Liu, Bo and Hu, Jinwu and Bi, Xiuli and Li, Weisheng and Gao, Xinbo},
  journal={Remote Sensing},
  volume={14},
  number={17},
  pages={4219},
  year={2022},
  publisher={MDPI}
}

update status

The code (V1) is uploaded (Ongoing updates).