High-Dimensional Seismic Data Reconstruction Based on Linear Radon Transform–Constrained Tensor CANDECOM/PARAFAC Decomposition

High-Dimensional Seismic Data Reconstruction Based on Linear Radon Transform–Constrained Tensor CANDECOM/PARAFAC Decomposition

Random noise and missing seismic traces are common in field seismic data, which seriously affects the subsequent seismic processing flow. The complete noise-free high-dimensional seismic dataset in the frequency–space (f-x) domain under the local linear assumption are regarded as a low-rank tensor,...

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Bibliographic Details
Main Authors: Zhiyuan Ouyang, Liqi Zhang, Huazhong Wang, Kai Yang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
seismic data reconstruction
local plane wave
tensor CP decomposition
linear Radon transform
Online Access:https://www.mdpi.com/2072-4292/14/24/6275

Internet

https://www.mdpi.com/2072-4292/14/24/6275

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