Date of Award
2020
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Committee Chair
Timothy S. Newman
Committee Member
Huaming Zhang
Committee Member
Tathagata Mukherjee
Subject(s)
Coronal mass ejections--Data processing, Computer vision, Image processing, Neural networks (Computer science)
Abstract
Three areas of research for information discovery in solar coronal mass ejections (CMEs) are presented. These include CME leading front detection, clustering approaches on CME catalog data, and neural network-based classication of CMEs into speed categories. In addition to describing explored methodologies, the experimental results and analyses are presented.
Recommended Citation
Suzuki, Jeren, "Information discovery in coronagraph images" (2020). Theses. 321.
https://louis.uah.edu/uah-theses/321
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