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

by Jun Chen, Dingkai Chen, Shuangcheng Ge
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 38
Year of Publication: 2019
Authors: Jun Chen, Dingkai Chen, Shuangcheng Ge
10.5120/ijca2019919255

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 },
issue_date = { Aug 2019 },
volume = { 178 },
number = { 38 },
month = { Aug },
year = { 2019 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number38/30784-2019919255/ },
doi = { 10.5120/ijca2019919255 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:52:30.071579+05:30
%A Jun Chen
%A Dingkai Chen
%A Shuangcheng Ge
%T Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 38
%P 13-18
%D 2019
%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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

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

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