Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation

Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation

Random noise attenuation in seismic data requires employing leading-edge methods to attain reliable denoised data. Efficient noise removal, effective signal preservation and recovery, reasonable processing time with a minimum signal distortion and seismic event deterioration are properties of a desi...

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Bibliographic Details
Main Authors: Javad Mafakheri, Amin Roshandel Kahoo, Rasoul Anvari, Mokhtar Mohammadi, Mohammad Radad, Mehrdad Soleimani Monfared
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Continuous wavelet transform (CWT)
low-rank matrix
optimal shrinkage
singular value decomposition
seismic random noise
Online Access:https://ieeexplore.ieee.org/document/9743608/

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