385-unmixing-guided-unsupervised-network-for-rgb-spectral-super-resolution

https://github.com/szu-advtech-2023/385-unmixing-guided-unsupervised-network-for-rgb-spectral-super-resolution

Science Score: 31.0%

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Host: GitHub
Owner: SZU-AdvTech-2023
Language: Python
Default Branch: main
Size: 14.6 MB

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Created over 2 years ago · Last pushed over 2 years ago

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Citation

https://github.com/SZU-AdvTech-2023/385-Unmixing-Guided-Unsupervised-Network-for-RGB-Spectral-Super-Resolution/blob/main/

# UnGUN

**Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution**
Qiaoying Qu, Bin Pan, Xia Xu, Tao Li and Zhenwei Shi


```shell
UNGUN_CODE
 data # hyperspectral images for training/testing
 endmember #initialization for decoder1
 guidance_data # guidance hyperspectral images for training/testing
 pretrained_model # pretrained models 
 save # save path
 SRF # spectral response function
 layer.py
 load_data.py
 model.py
 test.py 
 train.py
 func_hyperImshow.m # Visual hyperspectral images
 visual_spectral.m # Visual hyperspectral images spectral
 Visual.m # Visual hyperspectral images channal
```

*This implementation is for non-commercial research use only. If you find this code useful in your research, please cite the above paper. **Original code link:** https://github.com/qffang/UnGUN* 

 data, guidance_data and save folders can be downloaded from the following link: [LINK](https://pan.baidu.com/s/1scUKeK0Fh54ZY_-3yikhmw) code: qwer 

```tex
@ARTICLE{qu@ungun,
  author={Qu, Qiaoying and Pan, Bin and Xu, Xia and Li, Tao and Shi, Zhenwei},
  journal={IEEE Trans. Image Process.}, 
  title={Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution}, 
  year={2023},
  volume={32},
  number={},
  pages={4856-4867},
  doi={10.1109/TIP.2023.3299197}}
```

```tex
@article{Tu2023NCGLF,
  title={NCGLF2: Network combining global and local features for fusion of multisource remote sensing data},
  author={Bing Tu and Qi Ren and Jun Li and Zhaolou Cao and Yunyun Chen and Antonio J. Plaza},
  journal={Inf. Fusion},
  year={2023},
}
```



### ICVL-Natural-Hyperspectral-Image-Database

**Link:**https://github.com/cndaqiang/ICVL-Natural-Hyperspectral-Image-Database?tab=readme-ov-file

Owner

Name: SZU-AdvTech-2023
Login: SZU-AdvTech-2023
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2023

Citation (citation.txt)

@article{REPO385,
    author = "Qu, Qiaoying and Pan, Bin and Xu, Xia and Li, Tao and Shi, Zhenwei",
    journal = "IEEE Transactions on Image Processing",
    number = "",
    pages = "4856-4867",
    title = "{Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution}",
    volume = "32",
    year = "2023"
}

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