Multiscale Feature Identification in the Solar Atmosphere

Details Multiscale Feature Identification in the Solar Atmosphere Multiscale Feature Identification in the Solar Atmosphere

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003agufmsh42b0543y&link_type=abstract

American Geophysical Union, Fall Meeting 2003, abstract #SH42B-0543

Mathematics

Logic

7513 Coronal Mass Ejections, 7594 Instruments And Techniques, 7599 General Or Miscellaneous

Scientific paper

Multiscale methods offer a powerful approach to solar image processing and analysis. In this paper, wavelet-based methods are applied to a sequence of TRACE 195 passband images and LASCO C2/C3 white-light images to unambiguously identify faint features associated with the 2002 April 21 X-class flare and CME. Morphological properties, such as feature width, height, velocity and acceleration are then extracted, and compared to recent results from traditional image processing techniques.

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