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

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...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2007-01, Vol.45 (1), p.104-117
Main Authors: Firoozabadi, R., Miller, E.L., Rappaport, C.M., Morgenthaler, A.W.
Format: Article
Language:English
Subjects:
Algorithms
Applied geophysics
B-splines
Buried object detection
Detection
Dielectric losses
Dielectric properties
Dispersion
dispersive media
Earth sciences
Earth, ocean, space
Electromagnetic fields
Electromagnetic scattering
Exact sciences and technology
Geometry
ground-penetrating radar (GPR)
Grounds
Half spaces
Internal geophysics
Inverse method
Inverse problems
inversion methods
Mathematical models
nonlinear optimization
Plane waves
rough surface
Rough surfaces
Studies
subsurface sensing
Surface reconstruction
Surface roughness
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Summary: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 two-dimensional geometries and TM incident plane waves demonstrate the accuracy and reliability of this inverse method
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2006.883462