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Curvelet processing and imaging: adaptive ground roll removal Yarham, Carson; Trad, Daniel; Herrmann, Felix J.
Abstract
In this paper we present examples of ground roll attenuation for synthetic and real data gathers by using Contourlet and Curvelet transforms. These non-separable wavelet transforms are locoalized both (x,t)- and (k,f)-domains and allow for adaptive seperation of signal and ground roll. Both linear and non-linear filtering are discussed using the unique properties of these basis that allow for simultaneous localization in the both domains. Eventhough, the linear filtering techniques are encouraging the true added value of these basis-function techniques becomes apparent when we use these decompositions to adaptively substract modeled ground roll from data using a non-linear thesholding procedure. We show real and synthetic examples and the results suggest that these directional-selective basis functions provide a usefull tool for the removal of coherent noise such as ground roll
Item Metadata
Title |
Curvelet processing and imaging: adaptive ground roll removal
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Creator | |
Contributor | |
Publisher |
Canadian Society of Exploration Geophysicists
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Date Issued |
2004
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Description |
In this paper we present examples of ground roll attenuation for synthetic and real data gathers by using Contourlet and Curvelet transforms. These non-separable wavelet transforms are locoalized both (x,t)- and (k,f)-domains and allow for adaptive seperation of signal and ground roll. Both linear and non-linear filtering are discussed using the unique properties of these basis that allow for simultaneous localization in the both domains. Eventhough, the linear filtering techniques are encouraging the true added value of these basis-function techniques becomes apparent when we use these decompositions to adaptively substract modeled ground roll from data using a non-linear thesholding procedure. We show real and synthetic examples and the results suggest that these directional-selective basis functions provide a usefull tool for the removal of coherent noise such as ground roll
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Extent |
1156608 bytes
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Subject | |
Genre | |
Type | |
File Format |
application/msword
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Language |
eng
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Date Available |
2008-03-03
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Provider |
Vancouver : University of British Columbia Library
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Rights |
All rights reserved
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DOI |
10.14288/1.0107392
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URI | |
Affiliation | |
Citation |
Carson Yarham, Daniel Trad, and Felix J. Herrmann. 2004. Curvelet processing and imaging: adaptive ground roll removal. CSEG National Convention.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Graduate; Faculty
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Copyright Holder |
Herrmann, Felix J.
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Aggregated Source Repository |
DSpace
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All rights reserved