Robust curvelet-domain data continuation with sparseness constraints.

UBC Faculty Research and Publications

Robust curvelet-domain data continuation with sparseness constraints. Herrmann, Felix J.

Abstract

A robust data interpolation method using curvelets frames is presented. The advantage of this method is that curvelets arguably provide an optimal sparse representation for solutions of wave equations with smooth coefficients. As such curvelets frames circumvent - besides the assumption of caustic-free data - the necessity to make parametric assumptions (e.g. through linear/parabolic Radon or demigration) regarding the shape of events in seismic data. A brief sketch of the theory is provided as well as a number of examples on synthetic and real data.

Item Metadata

Title	Robust curvelet-domain data continuation with sparseness constraints.
Creator	Herrmann, Felix J.
Contributor	University of British Columbia. Seismic Laboratory for Imaging and Modeling
Publisher	European Association of Geoscientists & Engineers
Date Issued	2005
Description	A robust data interpolation method using curvelets frames is presented. The advantage of this method is that curvelets arguably provide an optimal sparse representation for solutions of wave equations with smooth coefficients. As such curvelets frames circumvent - besides the assumption of caustic-free data - the necessity to make parametric assumptions (e.g. through linear/parabolic Radon or demigration) regarding the shape of events in seismic data. A brief sketch of the theory is provided as well as a number of examples on synthetic and real data.
Extent	276126 bytes
Subject	Curvelets frames; Sparseness; Linear radon; Demigration; Parabolic radon
Genre	Conference Paper
Type	Text
File Format	application/pdf
Language	eng
Date Available	2008-02-26
Provider	Vancouver : University of British Columbia Library
Rights	All rights reserved
DOI	10.14288/1.0107383
URI	http://hdl.handle.net/2429/455
Affiliation	Science, Faculty of; Earth and Ocean Sciences, Department of
Citation	Herrmann. Fellix J. 2005. Robust curvelet-domain data continuation with sparseness constraints. EAGE 67th Conference & Exhibition Proceedings.
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Copyright Holder	Herrmann, Felix J.
Aggregated Source Repository	DSpace

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EAGEIN2005.pdf -- 269.65kB

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