Abstract
We present a method to estimate and quantify geometric parameters of a buried object in near-field microwave images. These parameters are shape, location, size, and orientation. Unlike the parameter estimation based on a conventional ground-penetrating radar image, a 3-D well-focused coherent image is generated. Instead of choosing a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$z$ </tex-math></inline-formula> -slice of the 3-D image, both 2-D projection and shadow projection images are used to perform the parameter estimation. The shape of the buried object is determined based on both <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\boldsymbol x$ </tex-math></inline-formula> - and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$y$ </tex-math></inline-formula> -polarized images. Other geometric parameters, such as location, size, and orientation, are estimated by the method of spatial moments. Both numerical and experimental data of an object buried in a dielectric slab are used to demonstrate the efficacy of the proposed geometric parameter estimation algorithm.
Published Version
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