Statistics – Computation
Scientific paper
Sep 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..397..162b&link_type=abstract
First Results From Hinode ASP Conference Series, Vol. 397, Proceedings of the conference held 20-24 August, 2007, at Trinity Col
Statistics
Computation
Scientific paper
Image processing plays an important role in the analysis of data from space-based instruments. With the large volumes of information currently available from missions such as Hinode and STEREO, our aim is to produce computationally fast methods for extracting features of interest (e.g. loops, filaments, waves and eruptions). Multiscale image processing methods enable us to study these features as a function of scale. Here we describe these methods, and use them to study the multiscale properties of a coronal mass ejection (CME) observed by SOHO/LASCO, and briefly discuss the implications for Hinode.
Byrne Jason P.
Gallagher Peter. T.
McAteer James R. T.
Young Callum A.
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