Skip to main content
Have a personal or library account? Click to login
SR4RS: A Tool for Super Resolution of Remote Sensing Images Cover

SR4RS: A Tool for Super Resolution of Remote Sensing Images

By: Rémi Cresson  
Open Access
|Mar 2022

References

  1. Ledig C, Theis L, Huszár F, Caballero J, Cunningham A, Acosta A, Shi W. Photo-realistic single image super-resolution using a generative adversarial network. In Proceedings of the IEEE conference on computer vision and pattern recognition. 2017; 46814690. DOI: 10.1109/CVPR.2017.19
  2. Karras T, et al. “Progressive growing of gans for improved quality, stability, and variation.” arXiv preprint arXiv:1710.10196; 2017.
  3. Karnewar A, Wang, O. Msg-gan: Multi-scale gradients for generative adversarial networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020; 77997808. DOI: 10.1109/CVPR42600.2020.00782
  4. Warmerdam F. The geospatial data abstraction library. In Open source approaches in spatial data handling. 2008; 87104. Berlin, Heidelberg: Springer. DOI: 10.1007/978-3-540-74831-1_5
  5. Grizonnet M, Michel J, Poughon V, Inglada J, Savinaud M, Cresson R. Orfeo ToolBox: open source processing of remote sensing images. Open Geospatial Data, Software and Standards. 2017; 2(1): 18. DOI: 10.1186/s40965-017-0031-6
  6. Abadi M, Barham P, Chen J, Chen Z, Davis A, Dean J, …, Zheng X. Tensorflow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16). 2016; 265283.
DOI: https://doi.org/10.5334/jors.369 | Journal eISSN: 2049-9647
Language: English
Submitted on: Feb 12, 2021
Accepted on: Feb 17, 2022
Published on: Mar 2, 2022
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Rémi Cresson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.