Automatic solar flare tracking

Ming Qu, Frank Shih, Ju Jing, Haimin Wang, David Rees

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

Abstract

In October 2003 we began a four year project whose goal is to build a real-time space weather monitoring and forecasting system. A major component of the project is the use of image processing and pattern recognition techniques to detect and characterize three important solar activities in real–time: filament eruptions, flares, and emerging flux regions. In this paper we describe a method for automatic tracking of the apparent separation motion of two–ribbon flares using a support vector machine for flare detection and image segmentation for flare characterization.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Verlag
Pages419-425
Number of pages7
ISBN (Print)9783540232056
DOIs
StatePublished - 2004
Event8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004 - Wellington, New Zealand
Duration: Sep 20 2004Sep 25 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3215
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004
CountryNew Zealand
CityWellington
Period9/20/049/25/04

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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