Subsurface Sensing of Buried Objects Under a Randomly Rough Surface Using Scattered Electromagnetic Field Data

Abstract

Abstract-This paper proposes a new inverse method for microwave-based subsurface sensing of lossy dielectric objects embedded in a dispersive lossy ground with an unknown rough surface. An iterative inversion algorithm is employed to reconstruct the geometry and dielectric properties of the half-space ground as well as that of the buried object. B-splines are used to model the shape of the object as well as the height of the rough surface. In both cases, the control points for the spline function represent the unknowns to be recovered. A single-pole rational transfer function is used to capture the dispersive nature of the background. Here, the coefficients in the numerator and denominator are the unknowns. The approach presented in this paper is based on the state-of-the-art semianalytic mode matching forward model, which is a fast and efficient algorithm to determine the scattered electromagnetic fields. Numerical experiments involving twodimensional geometries and TM incident plane waves demonstrate the accuracy and reliability of this inverse method.

The Semi-Analytic Mode Matching algorithm for GPR wave scattering from multiple complex objects buried in a dielectric half space

“…These new enhancements to the SAMM algorithm, combined with its existing ability to quickly model subsurface scattering in all types of realistic media makes SAMM a very attractive general-purpose forward modeling tool ideally suited for inverse scattering applications [3].…”

The Semianalytic Mode Matching Algorithm for GPR Wave Scattering From Multiple Complex Objects Buried in a Rough Lossy Dielectric Half-Space

“…2. by considering each scatterer separately, and as each step in a multistep SAMM algorithm will generally use only a subset of the CSCs required for simulation of the entire problem, the overall computational time and storage may be substantially decreased. These new enhancements to the SAMM algorithm, combined with its existing ability to quickly model subsurface scattering in all types of realistic media, have made SAMM a very attractive general-purpose forward modeling tool ideally suited for inverse scattering applications [9].…”

Applications of GPR for Humanitarian Assistance and Security

“…A major difficulty for operation of GPR systems is the presence of clutter within or on the surface of the material, or in the side and back lobes of the antenna and sources of surface clutter (Daniels 2006;Tesfamariam and Mali 2012). This has been modelled by Firoozabadi et al (2007). Clutter is defined as sources of unwanted reflections that occur within the effective bandwidth and search window of the radar and are present as spatially coherent reflectors.…”