Research Article

Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform

by  Jun Chen, Dingkai Chen, Shuangcheng Ge
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Issue 38
Published: Aug 2019
Authors: Jun Chen, Dingkai Chen, Shuangcheng Ge
10.5120/ijca2019919255
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Jun Chen, Dingkai Chen, Shuangcheng Ge . Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform. International Journal of Computer Applications. 178, 38 (Aug 2019), 13-18. DOI=10.5120/ijca2019919255

                        @article{ 10.5120/ijca2019919255,
                        author  = { Jun Chen,Dingkai Chen,Shuangcheng Ge },
                        title   = { Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform },
                        journal = { International Journal of Computer Applications },
                        year    = { 2019 },
                        volume  = { 178 },
                        number  = { 38 },
                        pages   = { 13-18 },
                        doi     = { 10.5120/ijca2019919255 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2019
                        %A Jun Chen
                        %A Dingkai Chen
                        %A Shuangcheng Ge
                        %T Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform%T 
                        %J International Journal of Computer Applications
                        %V 178
                        %N 38
                        %P 13-18
                        %R 10.5120/ijca2019919255
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Background noise is and will always be an issue accompanying any type of ground-penetrating-radar (GPR) data acquisition and processing. Filtering is sometimes important for GPR data interpretation. In this paper, the principle and the characteristic of a multi-wavelet filter are presented briefly. And then the steps required to filter a GPR signal using a multi-wavelet filter are presented. The image changes of two theoretical models from the forward-calculated image to that of mixed with noise and that processed using a multi-wavelet-filter show that a multi-wavelet filter can be an effective tool for GPR signal filtering. As an example the field GPR signals of a seawall exhibiting water leakage were processed using a multi-wavelet transform. And the processed result is interpreted. The interpreted result facilitated the smooth completion of seawall waterproofing treatment.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Ground-penetrating radar (GPR) multi-wavelet transformation filter noise reduction signal processing

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