Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification. (arXiv:2201.01380v1 [eess.IV])

The paper presents the results from a multi-year effort to develop and
validate image processing methods for selecting the best physical models based
on solar image observations. The approach consists of selecting the physical
models based on their agreement with coronal holes extracted from the images.
Ultimately, the goal is to use physical models to predict geomagnetic storms.
We decompose the problem into three subproblems: (i) coronal hole segmentation
based on physical constraints, (ii) matching clusters of coronal holes between …

arxiv classification image processing map processing segmentation