SEG Technical Program Expanded Abstracts 2012 2012
DOI: 10.1190/segam2012-0269.1
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A comparison of 5D reconstruction methods

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Cited by 15 publications
(3 citation statements)
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“…There are not many papers that apply the 5D reconstruction concept, and the literature that can be found openly is used for seismic data recovery. For example, Poole and Veritas's paper [ 17 ] uses the antileakage Fourier transform to reconstruct 5D seismic data, Stanton and Sacchi's paper [ 18 ] uses the convex set projection algorithm to reconstruct 5D seismic data, and another paper [ 19 ] compares three 5D seismic data reconstruction methods.…”
Section: New Conceptsmentioning
confidence: 99%
“…There are not many papers that apply the 5D reconstruction concept, and the literature that can be found openly is used for seismic data recovery. For example, Poole and Veritas's paper [ 17 ] uses the antileakage Fourier transform to reconstruct 5D seismic data, Stanton and Sacchi's paper [ 18 ] uses the convex set projection algorithm to reconstruct 5D seismic data, and another paper [ 19 ] compares three 5D seismic data reconstruction methods.…”
Section: New Conceptsmentioning
confidence: 99%
“…Other methods that have been proposed in the literature to address the problem of seismic interpolation are those using sparsity constraints and suitable representations [5,47], alternating projection methods (POCS) [1,18,41], specialized filters [15,39] and matching pursuit methods [31,48,49] to name a few. There are several suggestions in the literature concerning rank minimization formulations, see for instance [6,19,25,26,40,42] that all address higher-dimensional interpolation problems. For an overview of five-dimensional reconstruction methods, see [40].…”
Section: Inverse Problemsmentioning
confidence: 99%
“…There are several suggestions in the literature concerning rank minimization formulations, see for instance [6,19,25,26,40,42] that all address higher-dimensional interpolation problems. For an overview of five-dimensional reconstruction methods, see [40].…”
Section: Inverse Problemsmentioning
confidence: 99%