The Use of Wavelet Analysis to Improve the Accuracy of Pavement Layer Thickness Estimation Based on Amplitudes of Electromagnetic Waves

Wutke, Małgorzata; Lejzerowicz, Anna; Garbacz, Andrzej

doi:10.3390/ma13143214

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…The article by [ 35 ] discusses one of the methods of dielectric constant determination in a continuous way, which is the determination of its value based on the amplitude of the wave reflected from the surface. Based on tests performed on model asphalt slabs, the research presented how the value of the dielectric constant changes, depending on the atmospheric conditions of the measured surface (dry, covered with water film, covered with ice, covered with snow, covered with de-icing salt).…”

Section: Description Of the Articles Presented In The Issuementioning

confidence: 99%

“…Coefficients correcting dielectric constants of hot mix asphalt (HMA) determined in various surface atmospheric conditions were introduced. It was proposed to determine the atmospheric conditions of the pavement with the use of wavelet analysis in order to choose the proper dielectric constant correction coefficient and, therefore, improve the accuracy of the pavement layer thickness estimation based on the ground-penetrating radar (GPR) method [ 35 ].…”

Section: Description Of the Articles Presented In The Issuementioning

confidence: 99%

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Testing of Materials and Elements in Civil Engineering

Schabowicz

2021

Materials

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This issue is proposed and organized as a means to present recent developments in the field of testing of materials in civil engineering. For this reason, the articles highlighted in this issue should relate to different aspects of testing of different materials in civil engineering, from building materials and elements to building structures. The current trend in the development of materials testing in civil engineering is mainly concerned with the detection of flaws and defects in elements and structures using destructive, semi-destructive, and nondestructive testing. The trend, as in medicine, is toward designing test equipment that allows one to obtain a picture of the inside of the tested element and materials. Very interesting results with significance for building practices of testing of materials and elements in civil engineering were obtained.

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Section: Description Of the Articles Presented In The Issuementioning

confidence: 99%

Section: Description Of the Articles Presented In The Issuementioning

confidence: 99%

Testing of Materials and Elements in Civil Engineering

Schabowicz

2021

Materials

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“…An additional alternative for GPR feature extraction is the use of wavelet methodologies. Wavelet analysis in GPR has been largely applied as a de-noising technique [24,25]; wavelets have also been applied in a diagnostic capacity in civil engineering [26] as well as in evaluation of soil moisture [27]. The fibrous and rhizomatous biomass assessed in this current study are characterized by a lack of a single large, discrete target object and are distributed among three depth layers.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration

Wolfe,

Dobreva,

Ruiz-Guzman

et al. 2023

Remote Sensing

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Among many agricultural practices proposed to cut carbon emissions in the next 30 years is the deposition of carbon in soils as plant matter. Adding rooting traits as part of a sequestration strategy would result in significantly increased carbon sequestration. Integrating these traits into production agriculture requires a belowground phenotyping method compatible with high-throughput breeding (i.e., rapid, inexpensive, reliable, and non-destructive). However, methods that fulfill these criteria currently do not exist. We hypothesized that ground-penetrating radar (GPR) could fill this need as a phenotypic selection tool. In this study, we employed a prototype GPR antenna array to scan and discriminate the root and rhizome mass of the perennial sorghum hybrid PSH09TX15. B-scan level time/discrete frequency analyses using continuous wavelet transform were utilized to extract features of interest that could be correlated to the biomass of the subsurface roots and rhizome. Time frequency analysis yielded strong correlations between radar features and belowground biomass (max R −0.91 for roots and −0.78 rhizomes, respectively) These results demonstrate that continued refinement of GPR data analysis workflows should yield an applicable phenotyping tool for breeding efforts in contexts where selection is otherwise impractical.

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“…CWT has been used for the GPR interpretation for example (Baili et al, 2009;Kumar et al, 2020) and (Wutke et al, 2020). For electromagnetic wave propagation using GPR data, the discrete wavelet transform and the CWT were devised.…”

Section: Introductionmentioning

confidence: 99%

Analysis of 2D and 3D GPR data interpretation using continuous wavelet transforms: Case study from an archaeological test site

Iqbal

Xiong²,

Tian³

et al. 2022

Front. Earth Sci.

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Ground-penetrating radar (GPR) is one of the most important techniques for obtaining high-resolution data in archaeological research, and it is becoming increasingly important. The continuous wavelet transform (CWT), which is non-numerical technique, gives an overcomplete representation of a signal by continuously varying the wavelet’s translation and scale parameters in the time series dataset. This paper focuses on the novel technique of integrating CWT and the wavelet transform maxima (WTM) to extract information from an archaeological test site in south-eastern China. For the characterization of archaeological features, we assessed the importance of dense and accurate data collection as well as GPR signal processing. The mathematical formulation and applicability of GPR attributes, particularly amplitude-based attributes, to identify and characterize archaeological buried targets are also discussed. GPR data is acquired using co-polarized and cross-polarized configurations with transverse-electric (TE) and transverse-magnetic (TM) broadside frequency plates at 100 and 200 MHz. Next, CWT was applied using six different wavelet levels, followed by amplitude comparison. The archaeological targets were successfully interpreted using peak amplitude and CWT. The proposed methodology has significantly improved data visualization and interpretation of GPR data, and it also gave us good results in identifying archaeological anomalies.

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The Use of Wavelet Analysis to Improve the Accuracy of Pavement Layer Thickness Estimation Based on Amplitudes of Electromagnetic Waves

Cited by 8 publications

References 18 publications

Testing of Materials and Elements in Civil Engineering

Testing of Materials and Elements in Civil Engineering

Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration

Analysis of 2D and 3D GPR data interpretation using continuous wavelet transforms: Case study from an archaeological test site

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