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A recognition of filaments in solar images with an Artificial Neural Network

  • University of Bradford
    ,
  • University of Exeter
Research Output: Contribution to conference Paper Peer-review

Open access

Abstract

A new technique based on the Artificial Neural Network (ANN) was developed for an automated recognition of solar filaments, dark elongated features visible in the hydrogen H-alpha line full disk spectroheliograms. The ANN was trained on a single fragment containing the filament elements depicted on a local background and then tested on the other 54 image fragments depicting filaments on the backgrounds with variations in brightness. Despite the difference in backgrounds, the ANN has properly recognized filaments in all the testing image fragments. This technique can be extended for an automated recognition of solar filaments in the existing solar catalogues.

Publication Information

Output type

Research Output: Contribution to conference Paper Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 521-526 (6 pages)

Publication milestones

  • Published - 2003

Publication status

Published - 2003

External Publication IDs

  • Scopus: 105034843375

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