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

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Jun Chen, Dingkai Chen, Shuangcheng Ge

Jun Chen, Dingkai Chen and Shuangcheng Ge. Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform. International Journal of Computer Applications 178(38):13-18, August 2019. BibTeX

	author = {Jun Chen and Dingkai Chen and Shuangcheng Ge},
	title = {Filtering of Seawall GPR Signal by means of Multi-Wavelet Transform},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2019},
	volume = {178},
	number = {38},
	month = {Aug},
	year = {2019},
	issn = {0975-8887},
	pages = {13-18},
	numpages = {6},
	url = {},
	doi = {10.5120/ijca2019919255},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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.


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