Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification

Volume: 29, Pages: 1641 - 1653
Published: Jan 1, 2020
Abstract
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...
Paper Details
Title
Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification
Published Date
Jan 1, 2020
Volume
29
Pages
1641 - 1653
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