https://github.com/space-lab-sk/scss-net

This is the repository for SCSS-Net: Solar corona structures segmentation by deep learning
https://github.com/space-lab-sk/scss-net

Last synced: 11 days ago
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This is the repository for SCSS-Net: Solar corona structures segmentation by deep learning

• Host: GitHub
• URL: https://github.com/space-lab-sk/scss-net
• Owner: space-lab-sk
• License: gpl-3.0
• Created: 2021-05-06T12:24:56.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-03-08T14:43:28.000Z (over 1 year ago)
• Last Synced: 2024-03-03T02:33:35.768Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 5.47 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-helio - code

README

        
## SCSS-Net: Solar Corona Structures Segmentation by Deep Learning

### Supplemental materials to the paper published in [MNRAS](https://doi.org/10.1093/mnras/stab2536) ([arXiv](https://arxiv.org/pdf/2109.10834.pdf), [Full Text](https://academic.oup.com/mnras/article-pdf/508/3/3111/40736047/stab2536.pdf)):

- Jupyter notebook [SCSS-net_CH](/SCSS-net_CH.ipynb) that contains analysis presented in the article related to the segmentation of coronal holes. The required utilities are in [/src](/src) folder.

- Jupyter notebook [SCSS-net_AR](/SCSS-net_AR.ipynb) that contains analysis related to the segmentation of active regions

- Visualization of SCSS-net performance to segment coronal holes on the test set is presented in [YouTube video](https://youtu.be/INGJu9yFl9s)

- Custom annotations of [coronal holes](/data/ch_custom.zip) and [active regions](/data/ar_custom.zip)

---

### How to cite:

Šimon Mackovjak, Martin Harman, Viera Maslej-Krešňáková, Peter Butka, SCSS-Net: solar corona structures segmentation by deep learning, Monthly Notices of the Royal Astronomical Society, Volume 508, Issue 3, December 2021, Pages 3111–3124, https://doi.org/10.1093/mnras/stab2536

***BibTex:***  

*@article{10.1093/mnras/stab2536,   

author = {Mackovjak, Šimon and Harman, Martin and Maslej-Krešňáková, Viera and Butka, Peter},   

title = "{SCSS-Net: solar corona structures segmentation by deep learning}",   

journal = {Monthly Notices of the Royal Astronomical Society},   

volume = {508},   

number = {3},   

pages = {3111-3124},   

year = {2021},   

month = {10},   

issn = {0035-8711},   

doi = {10.1093/mnras/stab2536},   

url = {https://doi.org/10.1093/mnras/stab2536}  

}*