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An iterative half thresholding method for seismic data interpolation

  • Pengliang Yang*
  • , Jinghuai Gao
  • , Wenchao Chen
  • *Corresponding author for this work
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we introduce an analysis-based iterative half thresholding algorithm to interpolate the seismic data. Different from the conventional methods, this approach takes advantages of the nonconvex sparsity constraint, namely the L1/2-norm constraint. The redundant Fourier transform is employed from a spectral compressive sensing perspective. The experimental results shows that double zero-padding in spatial direction of seismic data can further enhance the reconstruction quality, allowing for the improved interpolation performance and the increased computational cost and storage requirement; zero-padding in temporal does nothing to improve the reconstruction performance.

Original languageEnglish
Title of host publicationSociety of Exploration Geophysicists International Exposition and 83rd Annual Meeting, SEG 2013
Subtitle of host publicationExpanding Geophysical Frontiers
PublisherSociety of Exploration Geophysicists
Pages3579-3584
Number of pages6
ISBN (Print)9781629931883
DOIs
StatePublished - 2013
Externally publishedYes
EventSociety of Exploration Geophysicists International Exposition and 83rd Annual Meeting: Expanding Geophysical Frontiers, SEG 2013 - Houston, United States
Duration: 22 Sep 201327 Sep 2013

Publication series

NameSociety of Exploration Geophysicists International Exposition and 83rd Annual Meeting, SEG 2013: Expanding Geophysical Frontiers

Conference

ConferenceSociety of Exploration Geophysicists International Exposition and 83rd Annual Meeting: Expanding Geophysical Frontiers, SEG 2013
Country/TerritoryUnited States
CityHouston
Period22/09/1327/09/13

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