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The applicability of wavelet transform to the extraction of informative features from the images of the Sun

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Abstract

The potentialities of wavelet analysis for extracting informative features from the images of complicated objects existing on the Sun’s surface and in the solar corona are investigated. Images being analyzed are derived from the solar imagery obtained by the SOHO satellite, a joint ESA/NASA project. The extracted features may be used to form multidimensional time series of data, which are important for subsequent analysis and solar event prediction.

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References

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Authors and Affiliations

  1. Skobeltsyn Institute of Nuclear Physics, Moscow State University, Vorob’evy gory, Moscow, 119992, Russia

    S. A. Sharov, S. A. Dolenko & I. G. Persiantsev

Authors
  1. S. A. Sharov
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  2. S. A. Dolenko
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  3. I. G. Persiantsev
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Additional information

The article was translated by the authors.

This work was supported in part by the Ministry of Industry, Science and Technologies of the Russian Federation, state contract no. 37.011.1.0016.

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Sharov, S.A., Dolenko, S.A. & Persiantsev, I.G. The applicability of wavelet transform to the extraction of informative features from the images of the Sun. Pattern Recognit. Image Anal. 16, 65–67 (2006). https://doi.org/10.1134/S1054661806010202

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  • DOI: https://doi.org/10.1134/S1054661806010202

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