/ZeroSharpen

Primary LanguagePythonMIT LicenseMIT

Implement of ZeroSharpen

Code for Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation

Configuration requirements before development
  1. Python 3.7.0
  2. Pytorch 1.12.1

File directory description

ZeroSharpen-main 
├── README.md
├── LICENSE.txt
├── main.py
├── eval.py
├── func.py
├── data
│  ├── ms
│  │    └── 1.tif
│  ├── pan
│  │    └── 1.tif
├── rnet.py
├── tnet.py
└── utils.py

Contributor

Baixuzx7 @ wanghebaixu@gmail.com

Copyright statement

The project is signed under the MIT license, see the LICENSE.txt

Architecture of Zero-Sharpen

overview

Reference

@article{wang2024zero,
  title={Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation},
  author={Wang, Hebaixu and Zhang, Hao and Tian, Xin and Ma, Jiayi},
  journal={Information Fusion},
  volume={101},
  pages={102003},
  year={2024},
  publisher={Elsevier}
}