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Solar Physics

, Volume 289, Issue 5, pp 1643–1661 | Cite as

Automatic Tracking of Active Regions and Detection of Solar Flares in Solar EUV Images

  • C. Caballero
  • M. C. Aranda
Article

Abstract

Solar catalogs are frequently handmade by experts using a manual approach or semi-automated approach. The appearance of new tools is very useful because the work is automated. Nowadays it is impossible to produce solar catalogs using these methods, because of the emergence of new spacecraft that provide a huge amount of information. In this article an automated system for detecting and tracking active regions and solar flares throughout their evolution using the Extreme UV Imaging Telescope (EIT) on the Solar and Heliospheric Observatory (SOHO) spacecraft is presented. The system is quite complex and consists of different phases: i) acquisition and preprocessing; ii) segmentation of regions of interest; iii) clustering of these regions to form candidate active regions which can become active regions; iv) tracking of active regions; v) detection of solar flares. This article describes all phases, but focuses on the phases of tracking and detection of active regions and solar flares. The system relies on consecutive solar images using a rotation law to track the active regions. Also, graphs of the evolution of a region and solar evolution are presented to detect solar flares. The procedure developed has been tested on 3500 full-disk solar images (corresponding to 35 days) taken from the spacecraft. More than 75 % of the active regions are tracked and more than 85 % of the solar flares are detected.

Keywords

Active regions Flares, pre-flare phenomena 

Notes

Acknowledgements

This work was funded by the project TIC07-02861 of the Junta de Andalucía (Spain). EIT was funded by CNES, NASA, and the Belgian SPPS. SOHO is a mission of international cooperation between ESA and NASA.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Languages and Computer Science, Engineering SchoolUniversity of MalagaMálagaSpain

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