Go to  Advanced Search

Curvelet-domain least-squares migration with sparseness constraints.

Show full item record

Files in this item

Files Size Format Description   View
EAGEIM2004.pdf 882.5Kb Adobe Portable Document Format   View/Open
 
Title: Curvelet-domain least-squares migration with sparseness constraints.
Author: Herrmann, Felix J.; Moghaddam, Peyman P.
Subject Keywords curvelet;least squares migration;sparseness
Issue Date: 2004
Publicly Available in cIRcle 2008-02-25
Publisher European Association of Geoscientists and Engineers
Citation: Herrmann, Felix J., Moghaddam, Peyman. Curvelet-domain least-squares migration with sparseness constraints. 2004. EAGE 66th Conference & Exhibition Proceedings.
Abstract: A non-linear edge-preserving solution to the least-squares migration problem with sparseness constraints is introduced. The applied formalism explores Curvelets as basis functions that, by virtue of their sparseness and locality, not only allow for a reduction of the dimensionality of the imaging problem but which also naturally lead to a non-linear solution with significantly improved signalto-noise ratio. Additional conditions on the image are imposed by solving a constrained optimization problem on the estimated Curvelet coefficients initialized by thresholding. This optimization is designed to also restore the amplitudes by (approximately) inverting the normal operator, which is like-wise the (de)-migration operators, almost diagonalized by the Curvelet transform.
Affiliation: Earth and Ocean Sciences, Dept. of (EOS), Dept of
URI: http://hdl.handle.net/2429/452
Peer Review Status:

This item appears in the following Collection(s)

Show full item record

All items in cIRcle are protected by copyright, with all rights reserved.

UBC Library
1961 East Mall
Vancouver, B.C.
Canada V6T 1Z1
Tel: 604-822-6375
Fax: 604-822-3893