Solar Spots Classification Using Pre-processing and Deep Learning Image Techniques

Thiago O. Camargo, Sthefanie Monica Premebida, Denise Pechebovicz, Vinicios R. Soares, Marcella Martins, Virginia Baroncini, Hugo Siqueira, Diego Oliva

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Machine learning techniques and image processing have been successfully applied in many research fields. Astronomy and Astrophysics are some of these areas. In this work, we apply machine learning techniques in a new approach to classify and characterize solar spots which appear on the solar photosphere which express intense magnetic fields, and these magnetic fields present significant effects on Earth. In our experiments we consider images from Helioseismic and Magnetic Imager (HMI) in IntensitygramFlat format. We apply pre-processing techniques to recognize and count the groups of sunspots for further classification. Besides, we investigate the performance of the CNN AlexNet layer input in comparison with the Radial Basis Function Network (RBF) using different levels and combining both networks approaches. The results show that when the CNN uses the RBF to identify and classify sunspots from image processing, its performance is higher than when only CNN is used.

Original languageEnglish
Title of host publicationApplications of Computational Intelligence - 2nd IEEE Colombian Conference, ColCACI 2019, Revised Selected Papers
EditorsAlvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Julián David Arias-Londoño
PublisherSpringer Paris
Pages235-246
Number of pages12
ISBN (Print)9783030362102
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event2nd IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Barranquilla, Colombia
Duration: 5 Jun 20197 Jun 2019

Publication series

NameCommunications in Computer and Information Science
Volume1096 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019
CountryColombia
CityBarranquilla
Period5.6.197.6.19

Keywords

  • Astronomy and Astrophysics
  • Image processing
  • Neural network

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Fingerprint Dive into the research topics of 'Solar Spots Classification Using Pre-processing and Deep Learning Image Techniques'. Together they form a unique fingerprint.

  • Cite this

    Camargo, T. O., Premebida, S. M., Pechebovicz, D., Soares, V. R., Martins, M., Baroncini, V., Siqueira, H., & Oliva, D. (2019). Solar Spots Classification Using Pre-processing and Deep Learning Image Techniques. In A. D. Orjuela-Cañón, J. C. Figueroa-García, & J. D. Arias-Londoño (Eds.), Applications of Computational Intelligence - 2nd IEEE Colombian Conference, ColCACI 2019, Revised Selected Papers (pp. 235-246). (Communications in Computer and Information Science; Vol. 1096 CCIS). Springer Paris. https://doi.org/10.1007/978-3-030-36211-9_19