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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