Curvelet-based non-linear adaptive subtraction with sparseness constraints

TitleCurvelet-based non-linear adaptive subtraction with sparseness constraints
Publication TypeConference
Year of Publication2004
AuthorsFelix J. Herrmann, Peyman P. Moghaddam
Conference NameSEG Technical Program Expanded Abstracts
Volume23
Page1977-1980
OrganizationSEG
KeywordsPresentation, SEG, SLIM
Abstract

In this paper an overview is given on the application of directional basis functions, known under the name Curvelets/Contourlets, to various aspects of seismic processing and imaging, which involve adaptive subtraction. Key concepts in the approach are the use of directional basis functions that localize in both domains (e.g. space and angle); non-linear estimation, which corresponds to localized muting on the coefficients, possibly supplemented by constrained optimization. We will discuss applications that include multiple, ground-roll removal and migration denoising. {\copyright}2004 Society of Exploration Geophysicists

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SEG/2004/Herrmann04SEGcbn/Herrmann04SEGcbn.pdf
DOI10.1190/1.1851181
Presentation

https://slim.gatech.edu/Publications/Public/Conferences/SEG/2004/Herrman...

URL1

http://slim.eos.ubc.ca/ felix/public/SEGAD2004.pdf

Citation Keyherrmann2004SEGcbn