Automatic solar flare tracking using image-processing techniques

Document Type

Article

Publication Date

1-1-2004

Abstract

Measurement of the evolution properties of solar flares through their complete cyclic development is crucial in the studies of Solar Physics. From the analysis of solar Hα images, we used Support Vector Machines (SVMs) to automatically detect flares and applied image segmentation techniques to compute their properties. We also present a solution for automatically tracking the apparent separation motion of two-ribbon flares and measuring their moving direction and speed in the magnetic fields. From these measurements, with certain assumptions, we inferred the reconnection of the electric field as a measure of the rate of the magnetic reconnection in the corona. The automatic procedure is a valuable tool for real-time monitoring of flare evolution.

Identifier

4043171344 (Scopus)

Publication Title

Solar Physics

External Full Text Location

https://doi.org/10.1023/B:SOLA.0000036879.72274.68

ISSN

00380938

First Page

137

Last Page

149

Issue

1

Volume

222

Grant

0313591

Fund Ref

National Science Foundation

This document is currently not available here.

Share

COinS