Release time:2019-11-22
Impact Factor:1.621
DOI number:10.1111/1365-2478.12867
Affiliation of Author(s):School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
Teaching and Research Group:Applied Geophysics
Journal:Geophysical Prospecting
Place of Publication:NETHERLANDS
Funded by:2018QNRC001，41904098，2462018YJRC020
Key Words:Seismic reconstruction；Up‐sampling；Cadzow filtering；De-aliasing；De-noise
Abstract:Cadzow filtering is currently considered as one of the most effective approaches for seismic data reconstruction. The basic version of Cadzow filtering first reorders each frequency slice of the seismic data (to be reconstructed) to a block Hankel/Toeplitz matrix, and then implements a rank‐reduction operator, that is truncated singular value decomposition, to the Hankel/Toeplitz matrix. However, basic Cadzow filtering cannot deal with the problem of recovering regularly missing data (up‐sampling) in the case of strongly aliased energy, because the regularly missing data will mix with ...
Co-author:陈阳康
First Author:黄炜霖
Indexed by:Applied Research
Correspondence Author:冯德山
Document Code:DOI：10.1111/1365-2478.12867
Discipline:地质资源与地质工程
Document Type:J
ISSN No.:0016-8025
Translation or Not:no
Date of Publication:2019-09-19
Included Journals:SCI
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