Using unsupervised learning to SEARCH for polar coronal holes in synoptic EUV images.
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Updated
Mar 4, 2021 - Jupyter Notebook
Using unsupervised learning to SEARCH for polar coronal holes in synoptic EUV images.
Analysing Data collected from the Solar Surface
In this repository you can find all our code and data used in our bachelor project.
Segmentation of coronal holes and active region with Keras
Python-based workflow for detecting coronal hole (CH) boundaries from EUV solar images and estimating their magnetic properties using co-aligned magnetograms. Implements image processing, contour extraction, area estimation, and total unsigned magnetic flux (Bz) calculation for space weather studies.
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