asc-csa / asc-csa/Alouette_ISIS_extract
To develop a method to assess noisy ionograms
Open
data
enhancement
low priority
- Dominant language
- Jupyter Notebook
- Stars
- 11
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
To develop a method to assess noisy ionograms:
Starting code can be found in `/scan2data/ionogram_content_extraction/draft_ionogram_noise_assesment.py`
Contributor guide
No contributing guide indexed for this repository
Research direction
The only named entry point is /scan2data/ionogram_content_extraction/draft_ionogram_noise_assesment.py; read and run it to understand the existing noise-assessment work. The issue does not define an assessment criterion, expected output, or completion test, so clarify those requirements before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100