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Curvelet-based non-linear adaptive subtraction with sparseness constraints

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.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/611
Date January 2004
CreatorsHerrmann, Felix J., Moghaddam, Peyman P.
PublisherSociety of Exploration Geophysicists
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
Typetext
RightsHerrmann Felix J.

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