Mathematics – Probability
Scientific paper
May 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...210.2406m&link_type=abstract
American Astronomical Society Meeting 210, #24.06; Bulletin of the American Astronomical Society, Vol. 39, p.129
Mathematics
Probability
Scientific paper
Turmon, Pap, and Mukhtar (2002: Astrophysical Journal 568, 396) present a statistical method for identifying sunspots, faculae, and quiet Sun region classes in co-registered SOHO/MDI magnetograms and intensity images. This paper describes progress toward an extension of this method for finding a more complete region classification using multidimensional images (magnetic flux, line-of-sight velocity, intensity, equivalent width, and central line depth) obtained from 1992-2003 with the NASA/NSO Spectromagnetograph (SPM) and since 2003 with the NSO/SOLIS Vector Spectromagnetograph (VSM). We discuss the selection of the feature set, training images, and the temporal and spatial consistency of the NSO data. We determine class-conditional probability densities using both Gaussian mixture models and direct histogram interpolation, and compare feature labelings driven by both methods.
Jones Philip H.
Malanushenko Elena
Pap Judit M.
Turmon M. J.
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