International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 178 - Issue 38 |
Published: Aug 2019 |
Authors: Jun Chen, Dingkai Chen, Shuangcheng Ge |
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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
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.