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Seismic data processing with curvelets: a multiscale and nonlinear approach

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Title: Seismic data processing with curvelets: a multiscale and nonlinear approach
Author: Herrmann, Felix J.
Subject Keywords migration demigration;curvelet;seismic data;regularization;restoration;migration amplitudes;nonlinear;curvelet domain sparsity;smoothness;overfitting;2D;2-D
Issue Date: 2007
Publicly Available in cIRcle 2008-03-20
Publisher Society of Exploration Geophysicists
Citation: Herrmann, Felix J. 2007. Seismic data processing with curvelets: a multiscale and nonlinear approach. SEG 77th Annual Meeting and Exposition.
Abstract: In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic processing flow, consisting of the following steps: seismic data regularization and the restoration of migration amplitudes. We show that the curvelet's wavefront detection capability and invariance under the migration-demigration operator lead to a formulation that is stable under noise and missing data.
Affiliation: Science, Faculty ofEarth and Ocean Sciences, Department of
URI: http://hdl.handle.net/2429/600
Peer Review Status: Unreviewed
Scholarly Level: Faculty

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