GPR signal de-noising by discrete wavelet transform

Baili, Jamel; Lahouar, Samer; Hergli, Mounir; Al-Qadi, Imad L.; Besbes, Kamel

doi:10.1016/j.ndteint.2009.06.003

Cited by 101 publications

(46 citation statements)

References 10 publications

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“…Shi et al [7], and Zhang et al [8] constructed a 2D physical wavelet, which suppresses the direct wave via the different scale between direct wave and target echo. Tzanis [9], Baili et al [10], and Zhang et al [11] studied the direction of the direct wave and found that it changed slightly along the survey line, an outcome that is consistent with the characteristic of shearlet and ridgelet. Time domain and frequency domain methods are mainly used to remove direct wave from the morphological point of view.…”

Section: State Of the Artmentioning

confidence: 66%

See 1 more Smart Citation

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

Yong¹,

Weigang²,

Yanliang³

et al. 2016

JESTR

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As a nondestructive testing technology, ground penetrating radar (GPR) is widely used in the detection and recognition of high-speed railway subgrade diseases. Rough-surface direct wave suppression caused by locomotive vibration and subgrade irregularity is a challenge in the GPR signal process. Flat-surface assumption makes traditional method difficult to apply directly to the rough terrain environment. To remove rough-surface direct wave and improve the signal-to-noise ratio, a new adaptive algorithm is proposed in this paper. First, according to the characteristic of electromagnetic wave propagation, the echo model of GPR was constructed, and the composition of ground radar echo signal was analyzed. Next, the eigenvalue and eigenvector of the echo signal and ground direct wave were studied. With the increase of relative permittivity, the energy eigenvector of direct wave and echo signal converged to the same vector space. On this basis, a rough-surface direct wave suppression framework based on energy feature adaptive analysis was proposed. Finally, a numerical simulation and field experiment were carried out to verify the feasibility of the algorithm. Results showed that the algorithm effectively suppresses the rough ground direct wave, and the processing result preserves the target echo more completely. Without intervention, this method can be applied in automatic direct wave suppression, which will promote the development of automatic identification technology in the detection of railway subgrade diseases.

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Section: State Of the Artmentioning

confidence: 66%

“…Numerous studies have been carried out on direct wave suppression, and the methods used are mainly divided into three categories: time domain method [6], frequency domain method [7], [8], [9], [10], [11], and space vector method [12], [13], [14]. The main representative of the time domain method is the mean-subtraction method.…”

Section: State Of the Artmentioning

confidence: 99%

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

Yong¹,

Weigang²,

Yanliang³

et al. 2016

JESTR

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“…Ground-penetrating radar (GPR) is an electromagnetic (EM) tool used to evaluate the location and depth of buried objects in a dielectric medium, and to investigate the presence and continuity of natural subsurface conditions and features, via the reflection and scattering signals at the EM characteristics of discontinuities without the need for drilling or digging [1]. In brief, the function of GPR is to depict the geometric and physical characteristics of underground objects [2].…”

Section: Introductionmentioning

confidence: 99%

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

Chen¹,

Chen²,

Ge³

2019

IJCA

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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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“…Several methods have been applied to clutter suppression in GPR, and among them are clutter model-based methods [6][7][8], transform domain methods [9][10][11][12] and subspace projection methods [13][14][15][16][17]. Principal Component Analysis (PCA) is a major subspace projection method [14,15,[18][19][20][21][22], and the main problem of PCA is how to select the principal components of target.…”

Section: Introductionmentioning

confidence: 99%

A Clutter Suppression Method Based on Improved Principal Component Selection Rule for Ground Penetrating Radar

Zhu¹,

Xue²,

Xia³

et al. 2017

PIER M

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Abstract-Principal component analysis is usually used for clutter suppression of ground penetrating radar, but its performance is influenced by the selection of main components of target signal. In the paper, an improved principal component selection rule is proposed for selecting the main components of target signal. In the method, firstly difference spectrum of singular value is used to extract direct wave and strong target signal, and then, Fuzzy-C means clustering algorithm is used to determine the weights of principal component of weak target signal. Finally, the principal components of strong target signal and weak target signal are reconstructed to obtain target signal. Experimental results show that the proposed method can effectively remove the clutter signals and reserve more target information.

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GPR signal de-noising by discrete wavelet transform

Cited by 101 publications

References 10 publications

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

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

A Clutter Suppression Method Based on Improved Principal Component Selection Rule for Ground Penetrating Radar

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