Automatic solar flare tracking

Document Type

Conference Proceeding

Publication Date

1-1-2004

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.

Identifier

84975514886 (Scopus)

ISBN

[9783540232056]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-540-30134-9_56

e-ISSN

16113349

ISSN

03029743

First Page

419

Last Page

425

Volume

3215

Grant

ATM 0233931

Fund Ref

National Science Foundation

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