/DCTA

Primary LanguagePython

DCTA

A Lightweight Distillation CNN-Transformer Architecture for Remote Sensing Image Super-resolution

Use

  1. Please put the three files into the model folder.
  2. Instructions for use are in N_SR, and more details are in option.py.

Citation

If you find the code helpful in your research or work, please cite the following papers.

@article{wang2023lightweight,
  title={A lightweight distillation CNN-transformer architecture for remote sensing image super-resolution},
  author={Wang, Yu and Shao, Zhenfeng and Lu, Tao and Liu, Lifeng and Huang, Xiao and Wang, Jiaming and Jiang, Kui and Zeng, Kangli},
  journal={International Journal of Digital Earth},
  volume={16},
  number={1},
  pages={3560--3579},
  year={2023},
  publisher={Taylor \& Francis}
}

statistics