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Efficient seismic imaging with spectral projector and joint sparsity Miao, Lina
Abstract
In this thesis, we investigate the potential of improving the efficiency of seismic imaging with two advanced techniques: the spectral projector and the “joint sparsity”. The spectral projector offers an eigenvalue decomposition free computation routine that can filter out unstable evanescent wave components during wave equation based depth extrapolation. “Joint sparsity” aims to improve on the pure sparsity promoting recovery by making use of additional structure information of the signal. Besides, a new sparsity optimization algorithm — PQNl1 — is proposed to improve both theoretical convergence rate and practical performance for extremely large seismic imaging problems.
Item Metadata
| Title |
Efficient seismic imaging with spectral projector and joint sparsity
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| Creator | |
| Publisher |
University of British Columbia
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| Date Issued |
2014
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| Description |
In this thesis, we investigate the potential of improving the efficiency of seismic imaging with two advanced techniques: the spectral projector and the “joint sparsity”. The spectral projector offers an eigenvalue decomposition free computation routine that can filter out unstable evanescent wave components during wave equation based depth extrapolation. “Joint sparsity” aims to improve on the pure sparsity promoting recovery by making use of additional structure information of the signal. Besides, a new sparsity optimization algorithm — PQNl1 — is proposed to improve both theoretical convergence rate and practical performance for extremely large seismic imaging problems.
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| Genre | |
| Type | |
| Language |
eng
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| Date Available |
2014-03-18
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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| DOI |
10.14288/1.0166861
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| URI | |
| Degree | |
| Program | |
| Affiliation | |
| Degree Grantor |
University of British Columbia
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| Graduation Date |
2014-05
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| Campus | |
| Scholarly Level |
Graduate
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| Rights URI | |
| Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada