Time-Domain Electromagnetic Scattering by Buried Dielectric Objects with the Cylindrical-Wave Approach for GPR Modelling

Ponti, Cristina; Santarsiero, Massimo; Schettini, Giuseppe

doi:10.3390/electronics9030421

Cited by 2 publications

(2 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To date, the analysis of scattering effects and scattering attenuation has only been tackled in the geophysical literature relatively rarely (Radzevicius & Daniels 2000, Annan 2001, Muller 2005, Grimm et al 2006, Al-Qadi et al 2008, Ying et al 2019, Ponti et al 2020. In practice, the attenuation factor is usually described only by ohmic attenuation and scattering attenuation is omitted in analysis; this is due to the fact that it is very difficult to properly describe the unique distribution of scatterers, their properties, dimensions etc.…”

Section: Methods and Resultsmentioning

confidence: 99%

Theoretical aspects and numerical modelling of the GPR method to analyse its possibilities for the detection of leakages in urban water supply networks

Gołębiowski

2023

geol

View full text Add to dashboard Cite

Geophysical methods, especially selected electrical and electromagnetic ones, have been used for many years for the non-invasive detection of leakages from water supply networks. In this paper, the author focuses on theoretical aspects and numerical simulations to analyse the possibilities and limitations of the application of the selected electromagnetic method, i.e., the ground-penetrating radar (GPR) method for the aforementioned purpose. Various measurement techniques are used in the GPR method but in the paper the author refers to the most commonly used technique known as short-offset reflection profiling (SORP). As demonstrated in the paper, the detection of water leakages into a homogeneous and isotropic geological medium using the GPR method is a simple matter. However, the detection of leakages occurring in heterogeneous ground subjected to strong anthropopression and with the presence of electromagnetic interference becomes a difficult task, and interpretation may be difficult or even impossible. An important issue analysed in the paper was the phenomenon of the scattering of electromagnetic waves on underground anthropogenic objects, which very often occurs in urbanised areas. The results of the numerical modelling carried out for various scenarios of water leakages into typical ground allowed the possibilities and limitations of using the GPR method for the detection of leakages from water supply networks to be determined.

show abstract

Section: Methods and Resultsmentioning

confidence: 99%

Theoretical aspects and numerical modelling of the GPR method to analyse its possibilities for the detection of leakages in urban water supply networks

Gołębiowski

2023

geol

View full text Add to dashboard Cite

show abstract

“…It utilizes underground materials' different electromagnetic properties to detect underground areas based on the propagation and scattering characteristics of high-frequency electromagnetic (EM) waves [10][11][12]. Scattering from a single point or cylinder, such as rebar and pipeline, will produce hyperbolic reflection characteristics in the recorded GPR B-scans [13,14]. As a result, the detection of the hyperbola regions in the GRP B-scans is equivalent to the detection of the underground targets.…”

Section: Introductionmentioning

confidence: 99%

Underground Cylindrical Objects Detection and Diameter Identification in GPR B-Scans via the CNN-LSTM Framework

et al. 2020

View full text Add to dashboard Cite

Ground penetrating radar (GPR), as a non-invasive instrument, has been widely used in the civil field. The interpretation of GPR data plays a vital role in underground infrastructures to transfer raw data to the interested information, such as diameter. However, the diameter identification of objects in GPR B-scans is a tedious and labor-intensive task, which limits the further application in the field environment. The paper proposes a deep learning-based scheme to solve the issue. First, an adaptive target region detection (ATRD) algorithm is proposed to extract the regions from B-scans that contain hyperbolic signatures. Then, a Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) framework is developed that integrates Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network to extract hyperbola region features. It transfers the task of diameter identification into a task of hyperbola region classification. Experimental results conducted on both simulated and field datasets demonstrate that the proposed scheme has a promising performance for diameter identification. The CNN-LSTM framework achieves an accuracy of 99.5% on simulated datasets and 92.5% on field datasets.

show abstract

Time-Domain Electromagnetic Scattering by Buried Dielectric Objects with the Cylindrical-Wave Approach for GPR Modelling

Cited by 2 publications

References 46 publications

Theoretical aspects and numerical modelling of the GPR method to analyse its possibilities for the detection of leakages in urban water supply networks

Theoretical aspects and numerical modelling of the GPR method to analyse its possibilities for the detection of leakages in urban water supply networks

Underground Cylindrical Objects Detection and Diameter Identification in GPR B-Scans via the CNN-LSTM Framework

Contact Info

Product

Resources

About