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Reconstruction of seismic data with missing traces using normalized Gaussian weighted filter 원문보기

Journal of Geophysics and Engineering, v.15 no.5, 2018년, pp.2009 - 2020  

Fu, Lihua (School of Mathematics and Physics, China University of Geosciences No. 388, Lumo Road, Wuhan 430074, People’s Republic of China) ,  Zhang, Meng (School of Computer Science, Central China Normal University No. 152, Luoyu Road, Wuhan 430079, People’s Republic of China) ,  Liu, Zhihui (School of Mathematics and Physics, China University of Geosciences No. 388, Lumo Road, Wuhan 430074, People’s Republic of China) ,  Li, Hongwei (School of Mathematics and Physics, China University of Geosciences No. 388, Lumo Road, Wuhan 430074, People’s Republic of China)

Abstract AI-Helper 아이콘AI-Helper

Missing traces complicate the seismic data processing and may cause difficulty in geological interpretation. We present a simple but efficient normalized Gaussian weighted filter (NGWF) method for seismic data interpolation that is suitable for reconstruction despite a large number of missing traces...

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