TV and GSTV denoising performance improvement in DTRADWT and RADWT domains

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Ebrahimi Bardar Amin; OSKOOI BEHROOZ; goudarzi alireza

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Journal: JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS Year:2019 | Volume:5 | Issue:1 Page(s): 29-55

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Title

TV and GSTV denoising performance improvement in DTRADWT and RADWT domains

Author(s)

Ebrahimi Bardar Amin | OSKOOI BEHROOZ | goudarzi alireza | Issue Writer Certificate

Keywords

Ground penetrating radar (GPR)

Random noise attenuation

Rational dilation wavelet transform (RADWT)

Dual-tree rational dilation wavelet transform (DTRADWT)

Total variation (TV) denoising

Group sparsity total variation (GSTV) denoising

Abstract

Summary Ground penetrating radar (GPR) method is a non-destructive method for detecting shallow subsurface objectives based on the transmission of electromagnetic waves into the earth and the recording of received reflections from the sent waves. Noise recording of GPR data is inevitable. Noise attenuation is one of the most important and most significant steps in GPR processing. GPR data contains a variety of noise types. Random noise during data acquisition affects the quality of the data. Several noise reduction techniques have been proposed in various papers. In this paper, two methods of total variation (TV) and group sparsity total variation (GSTV) are used to reduce noise from GPR data in rational dilation wavelet transform (RADWT) and dual-tree rational dilation wavelet transform (DTRADWT) spaces. The TV method is an inversion method for noise attenuation of data. The developed type of TV is called GSTV. TV and GSTV methods are very effective in noise attenuation. However, due to the presence of random noise in all frequencies of the data, it is difficult to reduce noise in the data...

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APA: Copy

Ebrahimi Bardar, Amin, OSKOOI, BEHROOZ, & goudarzi, alireza. (2019). TV and GSTV denoising performance improvement in DTRADWT and RADWT domains. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 5(1 ), 29-55. SID. https://sid.ir/paper/268641/en

Vancouver: Copy

Ebrahimi Bardar Amin, OSKOOI BEHROOZ, goudarzi alireza. TV and GSTV denoising performance improvement in DTRADWT and RADWT domains. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2019;5(1 ):29-55. Available from: https://sid.ir/paper/268641/en

IEEE: Copy

Amin Ebrahimi Bardar, BEHROOZ OSKOOI, and alireza goudarzi, “TV and GSTV denoising performance improvement in DTRADWT and RADWT domains,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 5, no. 1 , pp. 29–55, 2019, [Online]. Available: https://sid.ir/paper/268641/en

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