Curvelet-based non-linear adaptive subtraction with sparseness constraints

UBC Faculty Research and Publications

Curvelet-based non-linear adaptive subtraction with sparseness constraints Herrmann, Felix J.; Moghaddam, Peyman P.

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 (i) directional basis functions that localize in both domains (e.g. space and angle); (ii) 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.

Item Metadata

Title	Curvelet-based non-linear adaptive subtraction with sparseness constraints
Creator	Herrmann, Felix J.; Moghaddam, Peyman P.
Contributor	University of British Columbia. Seismic Laboratory for Imaging and Modeling
Publisher	Society of Exploration Geophysicists
Date Issued	2004
Description	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 (i) directional basis functions that localize in both domains (e.g. space and angle); (ii) 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.
Extent	1550998 bytes
Subject	Curvelets; Contourlets; Non-linear adaptive subtraction; Sparseness constraints
Genre	Conference Paper
Type	Text
File Format	application/pdf
Language	eng
Date Available	2008-03-26
Provider	Vancouver : University of British Columbia Library
Rights	All rights reserved
DOI	10.14288/1.0107418
URI	http://hdl.handle.net/2429/611
Affiliation	Science, Faculty of; Earth and Ocean Sciences, Department of
Citation	Herrmann, Felix J., Moghaddam, Peyman P. 2004. Curvelet-based non-linear adaptive subtraction with sparseness constraints. SEG 74th Annual Meeting and Exposition.
Peer Review Status	Unreviewed
Scholarly Level	Faculty; Other
Copyright Holder	Herrmann Felix J.
Aggregated Source Repository	DSpace

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SEGAD2004.pdf -- 1.48MB

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