Adaptive Seismic Single-Channel Deconvolution via Convolutional Sparse Coding Model

Seismic deconvolution is a typical ill-posed inverse problem. The regularization technique in terms of different prior information is used for a unique and stable solution. Due to the difference between prior information and the actual subsurface situation, it is hard to obtain a solution with satis...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 17; H. 8; S. 1415 - 1419
Hauptverfasser:	Wang, Lingqian, Zhou, Hui, Wang, Yufeng, Yu, Bo, Fang, Jinwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Coding Convolutional codes Convolutional sparse coding (CSC) Data mining Deconvolution Dictionaries dictionary learning Encoding Glossaries Ill posed problems Inverse problems Learning Linear programming Machine learning Objective function pursuit Reconstruction Reflectance Regularization Seismic activity Seismic data seismic deconvolution Seismological data Seismology
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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