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Identification of Sunspots on SODISM Full-Disk Solar Images
Alasta, Amro F. Algamudi, Abdulrazag Qahwaji, Rami S.R. Almesrati, Fatma
Alasta, Amro F.
Algamudi, Abdulrazag
Qahwaji, Rami S.R.
Almesrati, Fatma
Publication Date
2018
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© 2018 Crown, published by IEEE. Reproduced in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Abstract
This paper presents a new method that provides the means to detect sunspots on full-disk solar images recorded by the Solar Diameter Imager and Surface Mapper (SODISM) on the PICARD satellite. The method is a totally automated detection process that achieves a sunspot recognition rate of 97.6%. The number of sunspots detected by this method strongly agrees with the NOAA catalogue. The sunspot areas calculated by this method have a 99% correlation with SOHO over the same period, and thus help to calculate the filling factor for wavelength (W.L.) 607nm.
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Citation
Alasta AF, Algamudi A, Qahwaji R, Almesrati Fatma (2018) Identification of Sunspots on SODISM Full-Disk Solar Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2018
(iCCECE '18) University of Essex, Southend, UK; 16-17th August 2018. International Association of Educators and Researchers (IAER) and IEEE.
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