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Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network

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References

  1. Wang X T, Yu K, Wu S X, et al. ESRGAN: enhanced super-resolution generative adversarial networks. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018

  2. Zhu J Y, Park T, Isola P, et al. Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, 2017. 2223–2232

  3. Johnson J, Alahi A, Li F F. Perceptual losses for real-time style transfer and super-resolution. In: Proceedings of European Conference on Computer Vision, 2016. 694–711

  4. He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016. 770–778

  5. Isola P, Zhu J Y, Zhou T H, et al. Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017. 1125–1134

  6. Poma X S, Riba E, Sappa A. Dense extreme inception network: towards a robust CNN model for edge detection. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2020. 1923–1932

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant No. 61922029), Science and Technology Plan Project Fund of Hunan Province (Grant No. 2019RS2016), Key Research and Development Program of Hunan (Grant No. 2021SK2039), and Natural Science Foundation of Hunan Province (Grant No. 2021JJ30003).

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China

    Jie Wu & Leyuan Fang

  2. Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China

    Runmin Cong

  3. College of Computer Science, Nankai University, Tianjin, 300071, China

    Chunle Guo

  4. Department of Computer and Information Science, University of Macau, Macao, 999078, China

    Bob Zhang

  5. Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Freiberg, 09599, Germany

    Pedram Ghamisi

  6. Institute of Advanced Research in Artificial Intelligence (IARAI), Vienna, 1030, Austria

    Pedram Ghamisi

Authors
  1. Jie Wu
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  2. Runmin Cong
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  3. Leyuan Fang
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  4. Chunle Guo
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  5. Bob Zhang
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  6. Pedram Ghamisi
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Corresponding author

Correspondence to Leyuan Fang.

Additional information

Wu J and Cong R M have the same contribution to this work.

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Wu, J., Cong, R., Fang, L. et al. Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. Sci. China Inf. Sci. 66, 119105 (2023). https://doi.org/10.1007/s11432-021-3575-1

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  • DOI: https://doi.org/10.1007/s11432-021-3575-1

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