Feature extraction of EIT EUV images for solar prominence eruption

Ju Jing, Haimin Wang, John Jenq

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Filament or prominence in the solar atmosphere are clouds of relatively dense and cool gas. They are refer to the same thing while view from different perspectives. If the research focus is on the full solar disk surface, then we call them filament. If one's focus is on the limb of the solar surface then it is called prominence. The NJIT solar research group has intensive research on various solar activities and events from prominence, CME, filaments detection and flare. This report focuses on the comparison of using different extreme ultra violet images downloaded from NASA SOHO web sites. The studies of solar limb object detection which is an important preprocessing step that can lead to further detection of prominence eruption events. We discuss and compare various options of limb object detection using different wavelength of EUV images. Then we briefly describe how limb objects can be detected. Due to the effectiveness of using 304 A EUV image to detect prominence eruption, we compute only the features of these limb objects based on EUV 304A images. The results of the EUV Limb Object Detection Catalog, can be found at the NJIT Space Weather Research Lab web site http://swrl.njit.edu/itr/euvprominence.html.

Original languageEnglish
Title of host publicationIMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings
PublisherInternational Institute of Informatics and Cybernetics, IIIC
Pages88-93
Number of pages6
ISBN (Print)1934272698, 9781934272695
StatePublished - 1 Jan 2009
Event2nd International Multi-Conference on Engineering and Technological Innovation, IMETI 2009 - Orlando, FL, United States
Duration: 10 Jul 200913 Jul 2009

Publication series

NameIMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings
Volume2

Other

Other2nd International Multi-Conference on Engineering and Technological Innovation, IMETI 2009
CountryUnited States
CityOrlando, FL
Period10/07/0913/07/09

Fingerprint

Feature extraction
Websites
NASA
Wavelength
Gases
Object detection
Filament
Web sites

Keywords

  • Feature extraction
  • Image processing
  • Solar prominence eruption

Cite this

Jing, J., Wang, H., & Jenq, J. (2009). Feature extraction of EIT EUV images for solar prominence eruption. In IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings (pp. 88-93). (IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings; Vol. 2). International Institute of Informatics and Cybernetics, IIIC.
Jing, Ju ; Wang, Haimin ; Jenq, John. / Feature extraction of EIT EUV images for solar prominence eruption. IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings. International Institute of Informatics and Cybernetics, IIIC, 2009. pp. 88-93 (IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings).
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abstract = "Filament or prominence in the solar atmosphere are clouds of relatively dense and cool gas. They are refer to the same thing while view from different perspectives. If the research focus is on the full solar disk surface, then we call them filament. If one's focus is on the limb of the solar surface then it is called prominence. The NJIT solar research group has intensive research on various solar activities and events from prominence, CME, filaments detection and flare. This report focuses on the comparison of using different extreme ultra violet images downloaded from NASA SOHO web sites. The studies of solar limb object detection which is an important preprocessing step that can lead to further detection of prominence eruption events. We discuss and compare various options of limb object detection using different wavelength of EUV images. Then we briefly describe how limb objects can be detected. Due to the effectiveness of using 304 A EUV image to detect prominence eruption, we compute only the features of these limb objects based on EUV 304A images. The results of the EUV Limb Object Detection Catalog, can be found at the NJIT Space Weather Research Lab web site http://swrl.njit.edu/itr/euvprominence.html.",
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Jing, J, Wang, H & Jenq, J 2009, Feature extraction of EIT EUV images for solar prominence eruption. in IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings. IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings, vol. 2, International Institute of Informatics and Cybernetics, IIIC, pp. 88-93, 2nd International Multi-Conference on Engineering and Technological Innovation, IMETI 2009, Orlando, FL, United States, 10/07/09.

Feature extraction of EIT EUV images for solar prominence eruption. / Jing, Ju; Wang, Haimin; Jenq, John.

IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings. International Institute of Informatics and Cybernetics, IIIC, 2009. p. 88-93 (IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Filament or prominence in the solar atmosphere are clouds of relatively dense and cool gas. They are refer to the same thing while view from different perspectives. If the research focus is on the full solar disk surface, then we call them filament. If one's focus is on the limb of the solar surface then it is called prominence. The NJIT solar research group has intensive research on various solar activities and events from prominence, CME, filaments detection and flare. This report focuses on the comparison of using different extreme ultra violet images downloaded from NASA SOHO web sites. The studies of solar limb object detection which is an important preprocessing step that can lead to further detection of prominence eruption events. We discuss and compare various options of limb object detection using different wavelength of EUV images. Then we briefly describe how limb objects can be detected. Due to the effectiveness of using 304 A EUV image to detect prominence eruption, we compute only the features of these limb objects based on EUV 304A images. The results of the EUV Limb Object Detection Catalog, can be found at the NJIT Space Weather Research Lab web site http://swrl.njit.edu/itr/euvprominence.html.

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Jing J, Wang H, Jenq J. Feature extraction of EIT EUV images for solar prominence eruption. In IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings. International Institute of Informatics and Cybernetics, IIIC. 2009. p. 88-93. (IMETI 2009 - 2nd International Multi-Conference on Engineering and Technological Innovation, Proceedings).