The nondestructive characterization of cylindrical objects is needed in many fields, such as medical diagnostics, tree trunk inspection, or concrete column testing. In this study, the radar equation of Lambot et al. is combined with cylindrical Green’s functions to fully model and invert ultra-wideband (UWB) ground-penetrating radar (GPR) data and retrieve the properties of cylindrical objects. Inversion is carried out using a lookup table (LUT) approach followed by local optimization to ensure retrieval of the global minimum of the objective function. Numerical experiments were conducted to analyze the capabilities of the developed inversion procedure to estimate the radius, permittivity, and conductivity of the cylinders. The full-wave mo...
Ground penetrating radar (GPR) is becoming an attractive sensor for quantitative reconstruction of s...
Antenna effects alter the detection of buried objects during ground-penetrating radar (GPR) surveys....
Ray-based, or approximate, forward modeling techniques have often been used to reduce computational ...
The nondestructive characterization of cylindrical objects is needed in many fields, such as medical...
Precise radius estimation is of high interest for rebar and pipe characterization but very challengi...
Ray-based radius estimations of subsurface cylindrical objects such as rebars and pipes from ground-...
The reconstruction of the geometric and dielectric properties of unknown targets starting from measu...
The accurate tomographic reconstruction of structures starting from Ground Penetrating Radar (GPR) d...
Ground-penetrating radar (GPR) is a widely used tool for the detection and location of buried utilit...
Pipes and water leaks can potentially be detected using ground-penetrating radar (GPR). Recently, a ...
Ground-penetrating radar (GPR) is a widely used tool for the detection and location of buried utilit...
Maintenance of aging buried infrastructure and reinforced concrete are critical issues in the United...
Non-destructive characterization of the structural and physical properties of soils and materials ha...
This thesis addresses the problem of non-destructive inspection of tree trunks using ultra-wideband ...
In this paper, a method to characterize buried nonmagnetic objects in ground using ultra-wideband (U...
Ground penetrating radar (GPR) is becoming an attractive sensor for quantitative reconstruction of s...
Antenna effects alter the detection of buried objects during ground-penetrating radar (GPR) surveys....
Ray-based, or approximate, forward modeling techniques have often been used to reduce computational ...
The nondestructive characterization of cylindrical objects is needed in many fields, such as medical...
Precise radius estimation is of high interest for rebar and pipe characterization but very challengi...
Ray-based radius estimations of subsurface cylindrical objects such as rebars and pipes from ground-...
The reconstruction of the geometric and dielectric properties of unknown targets starting from measu...
The accurate tomographic reconstruction of structures starting from Ground Penetrating Radar (GPR) d...
Ground-penetrating radar (GPR) is a widely used tool for the detection and location of buried utilit...
Pipes and water leaks can potentially be detected using ground-penetrating radar (GPR). Recently, a ...
Ground-penetrating radar (GPR) is a widely used tool for the detection and location of buried utilit...
Maintenance of aging buried infrastructure and reinforced concrete are critical issues in the United...
Non-destructive characterization of the structural and physical properties of soils and materials ha...
This thesis addresses the problem of non-destructive inspection of tree trunks using ultra-wideband ...
In this paper, a method to characterize buried nonmagnetic objects in ground using ultra-wideband (U...
Ground penetrating radar (GPR) is becoming an attractive sensor for quantitative reconstruction of s...
Antenna effects alter the detection of buried objects during ground-penetrating radar (GPR) surveys....
Ray-based, or approximate, forward modeling techniques have often been used to reduce computational ...