Coronal Mass Ejection Detection using Wavelets, Curvelets and Ridgelets: Applications for Space Weather Monitoring
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2011Citation:
P.T. Gallagher, C.A. Young, J.P. Byrne and R.T.J. McAteer, Coronal Mass Ejection Detection using Wavelets, Curvelets and Ridgelets: Applications for Space Weather Monitoring, Advances in Space Research, 47, 12, 2011, 2118-2126Abstract:
Coronal mass ejections (CMEs) are large-scale eruptions of plasma and magnetic field that can produce adverse space weather at Earth and other locations in the Heliosphere. Due to the intrinsic multiscale nature of features in coronagraph images, wavelet and multiscale image processing techniques are well suited to enhancing the visibility of CMEs and supressing noise. However, wavelets are better suited to identifiying point-like features, such as noise or background stars, than to enhancing the visibility of the curved form of a typical CME front. Higher order multiscale techniques, such as ridgelets and curvelets, were therefore explored to characterise the morphology (width, curvature) and kinematics (position, velocity, acceleration) of CMEs. Curvelets in particular were found to be well suited to characterising CME properties in a self-consistent manner. Curvelets are thus likely to be of benefit to autonomous monitoring of CME properties for space weather applications.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
07-RFP-PHYF39
NASA
07-HGI07-0119
Author's Homepage:
http://people.tcd.ie/gallagpthttp://people.tcd.ie/mcateert
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PUBLISHEDSponsor:
Science Foundation Ireland (SFI)NASA
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Advances in Space Research47
12
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Coronal mass ejection (CME), Space weatherMetadata
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