The estimation of buried pipe diameters using ground penetrating radar

Windsor, C. G.; Capineri, Lorenzo; Falorni, Pierluigi; Matucci, Serena; Borgioli, G.

doi:10.1784/insi.2005.47.7.394

Cited by 29 publications

(9 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the root diameter in this study is usually less than 2.5 cm, it is assumed that the diameters of roots can be ignored [29]. In this manner, the hyperbola function could be applied in Equation (1), according to the geometry relationship shown in Figure 4 [28],…”

Section: Recognition Of Hyperbolas Using Randomized Hough Transform (mentioning

confidence: 99%

“…The randomized Hough transform (RHT), as one of the popular variants of the Hough transform [24][25][26], applies random sampling and converging mapping strategy to overcome the drawbacks of Hough transform regarding computational cost, detection accuracy, and resistance to noise [25,26]. As a result, the RHT has been applied widely in actual automatic recognition of landmines and pipelines in GPR images [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tree Root Automatic Recognition in Ground Penetrating Radar Profiles Based on Randomized Hough Transform

Cui

Guo

et al. 2016

Remote Sensing

View full text Add to dashboard Cite

Abstract:As a nondestructive geophysical tool, Ground penetrating radar (GPR) has been applied in tree root study in recent years. With increasing amounts of GPR data collected for roots, it is imperative to develop an efficient automatic recognition of roots in GPR images. However, few works have been completed on this topic because of the complexity in root recognition problem. Based on GPR datasets from both controlled and in situ experiments, the randomized Hough transform (RHT) algorithm was evaluated in root object recognition for different center frequencies (400 MHz, 900 MHz, and 2000 MHz) in this paper. Reasonable accuracy was obtained (both a high recognition rate and a low false alarm rate) in these datasets, which shows it is feasible to apply the RHT algorithm for root recognition. Furthermore, we evaluated the influence of root and soil factors on the recognition. We found that the performance of RHT algorithm is mainly affected by root interval length, root orientation, and clutter noise of soil. The recognition results by RHT could be applied for large scale root system distribution study in belowground ecology. Further studies should be conducted to reduce clutter noise and improve the recognition of the complex root reflections.

show abstract

Section: Recognition Of Hyperbolas Using Randomized Hough Transform (mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tree Root Automatic Recognition in Ground Penetrating Radar Profiles Based on Randomized Hough Transform

Cui

Guo

et al. 2016

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In addition, we processed the data of Fig. 10 by an approach based on the generalized Hough transform method (Windsor et al, 2005a,b). This method attempts to estimate four parameters, such as the ( x , z ) location of the center of the buried pipe, its radius, and the wave propagation velocity in the soil.…”

Section: Numerical Resultsmentioning

confidence: 99%

Application of Microwave Tomography in Hydrogeophysics: Some Examples

Soldovieri

Prisco

Persico

2008

Vadose Zone Journal

View full text Add to dashboard Cite

We have developed a new strategy for indirect measurement of the dielectric permittivity of the soil using ground penetrating radar (GPR) data. In particular, the GPR data are provided as field scattered by a pipe buried in the soil; the scattered field data is collected at the air–soil interface and under a multimonostatic configuration (B‐scan). The strategy is based on the use of a microwave tomographic approach that achieves more robust results with respect to the simple calculation of the round‐trip time of the signal. Preliminary results are presented with synthetic data, achieved by means of a finite‐difference time‐domain code, for both the simple case of a pipe buried in a homogeneous soil and the more complicated case of multiple pipes in a layered medium.

show abstract

“…-Determination of the wave propagation time to a known interface using single-offset surface GPR (Grote et al, 2003;Lunt et al, 2005;van Overmeeren et al, 1997;Weiler et al, 1998) -Detection of the velocity-dependent reflecting hyperbola of a buried object using single-offset surface GPR along a transect (Vellidis et al, 1990;Windsor et al, 2005) -Extraction of stacking velocity fields from multi-offset radar soundings at a fixed central location (common midpoint method) (Garambois et al, 2002;Greaves et al, 1996) -Determination of the ground-wave velocity for surface water content retrieval using multi-and single-offset surface GPR (Chanzy et al, 1996;Du and Rummel, 1994;Galagedara et al, 2003Galagedara et al, , 2005aGrote et al, 2003;Huisman et al, 2001Huisman et al, , 2002) -Determination of the surface reflection coefficient using single-offset offground GPR (Chanzy et al, 1996;Redman et al, 2002;Or, 2003, 2004) -Determination of the two-dimensional spatial distribution of water between boreholes using transmission tomography (Alumbaugh et al, 2002;Binley et al, 2001;Rucker and Ferre, 2005;Zhou et al, 2001) In particular, time-lapse GPR measurements have recently permitted to monitor soil water dynamics between boreholes and infer the soil hydraulic properties governing water flow (Binley et al, 2001;Cassiani and Binley, 2005;Kowalsky et al, 2005;Linde et al, 2006;Rucker and Ferré, 2004;Tsoflias et al, 2001). GPR can also be used to monitor remediation amendments and processes .…”

Section: Ground-penetrating Radarmentioning

confidence: 99%

Soil Chemical Pollution, Risk Assessment, Remediation and Security

Simeonov¹,

Sargsyan²

2008

NATO Science for Peace and Security Series C: Environmental Security

View full text Add to dashboard Cite

Plant ecophysiology Effects of pollutants (ozone, UV-B, metals, acidic deposition, and surfactants)and climate change (drought, frost) on forests and trees (gas exchange, water relations, cuticles, roots, ectomycorrhizas, growth and pollen) biomonitoring, moss biomonitoring, raptor biomonitoring, heavy metal contamination, cellular localization of metals, hydrological fluxes of forest canopies. expertise in sustainable development, particularly in the following areas: environmental services, ecology and biogeochemistry of ecosystems and agroecosystems, bioenergy, biofuels, biochar, remote sensing, and electron microscopy applied to nanotechnology, electronics and automation, climate change adaptation and mitigation of greenhouse gases emissions.

show abstract

The estimation of buried pipe diameters using ground penetrating radar

Cited by 29 publications

References 6 publications

Tree Root Automatic Recognition in Ground Penetrating Radar Profiles Based on Randomized Hough Transform

Tree Root Automatic Recognition in Ground Penetrating Radar Profiles Based on Randomized Hough Transform

Application of Microwave Tomography in Hydrogeophysics: Some Examples

Soil Chemical Pollution, Risk Assessment, Remediation and Security

Contact Info

Product

Resources

About