Seismic Multichannel Deconvolution via 2-D K-SVD and MSD-oCSC

The deconvolution method is crucial for enhancing seismic resolution. Traditional multichannel schemes incorporate lateral constraints to enhance data continuity and integrity. However, a predominant challenge is that many existing methods assume that the estimated model parameters have certain feat...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 62; s. 1 - 13
Hlavní autori:	Wang, Yaojun, Gao, Xiayu, Zhang, Guiqian, Zou, Bangli, Hu, Guangmin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	2-D K-means singular value decomposition (K-SVD) Algorithms Coding Components Convolution Convolutional codes convolutional sparse coding (CSC) Decomposition Deconvolution Dictionaries Encoding Feature maps Frequencies Glossaries Image coding Iterative methods Linear programming multichannel Objective function Reflectivity Regularization Segments Seismic analysis Seismic data seismic deconvolution Seismic profiles Seismology Singular value decomposition
ISSN:	0196-2892, 1558-0644
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