/SoAN

A Second-order Attention Network for Glacial Lake Segmentation from Remotely Sensed Imagery

Primary LanguagePython

SoAN

A Second-order Attention Network for Glacial Lake Segmentation from Remotely Sensed Imagery, ISPRS Journal of Photogrammetry and Remote Sensing 2022.

[Paper Link]

About

This repo is about exploring methods to automatically segment remote sensing images using deep learning, with a focus on the segmentation of glacial lakes in the Hindu Kush Himalayas (HKH).

Utilisation

  • Code Release
  • Pretrained models
  • Roadmap

Citiation

Please kindly cite the paper if you think this is useful:

@article{wang2022second,
  title={A second-order attention network for glacial lake segmentation from remotely sensed imagery},
  author={Wang, Shidong and Peppa, Maria V and Xiao, Wen and Maharjan, Sudan B and Joshi, Sharad P and Mills, Jon P},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={189},
  pages={289--301},
  year={2022},
  publisher={Elsevier}
}

Acknowledgements

We thank the arthors of the work-glacier_mapping and the work-HarDNet-MSEG.