Denoising stacked autoencoders for transient electromagnetic signal denoising

The transient electromagnetic method (TEM) is extremely important in geophysics. However, the secondary field signal (SFS) in the TEM received by coil is easily disturbed by random noise, sensor noise and man-made noise, which results in the difficulty in detecting deep geological information. To re...

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Bibliographic Details
Published in:	Nonlinear processes in geophysics Vol. 26; no. 1; pp. 13 - 23
Main Authors:	Lin, Fanqiang, Chen, Kecheng, Wang, Xuben, Cao, Hui, Chen, Danlei, Chen, Fanzeng
Format:	Journal Article
Language:	English
Published:	Gottingen Copernicus GmbH 01.03.2019 Copernicus Publications
Subjects:	Analysis Artificial neural networks Coils Data comparison Electromagnetism Feature extraction Geology Geophysics Interference Machine learning Methods Neural networks Noise control Noise reduction Principal components analysis Probability theory Random noise Sensors Technology application Wavelet analysis Wavelet transforms
ISSN:	1607-7946, 1023-5809, 1607-7946
Online Access:	Get full text
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