1,721,156 research outputs found

    Two different approaches for georadar data processing. A case study in archaeologocal prospecting

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    Advanced GPR processing is applied to reconstruct burried archaeological structures at Axum (etiopia

    Shape identification by physical optics: the two-dimensional TE case

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    A method is provided for reconstruction of the shape of perfectly conducting objects in a homogeneous space starting from knowledge of the scattered far field under the incidence of TE-polarized plane waves. The Kirchhoff model of scattering permits linearization of the inverse problem, which is further simplified by adopting an asymptotic approximation. Thus the problem is tackled with an approach based on singular-value decomposition already developed for the TM case

    Shape reconstruction of 2d buried objects under a Kirchhoff approximation

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    The problem of reconstructing the shape of buried metallic objects for multifrequency plane wave incidence in a two-dimensional geometry is dealt with under the Kirchhoff approximation and solved by means of the singular value decomposition approach. Numerical results show the effectiveness of the solution method and outline the role of the parameters of the measurement configuration and of the properties of the ground on the features of the reconstruction

    A multi-array tomographic approach for Through-Wall maging

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    A through-wall imaging problem for a 2-D scalar geometry is addressed. It is cast as an inverse scattering problem and tackled under the linear Born model by means of the truncated singular value decomposition inversion scheme. A multiarray-based inversion strategy is considered. In particular, first the data collected by each single array are processed to obtain different tomographic images of the same scene under test. Then, the different images are suitably combined to obtain the overall image. The inversion scheme is tested for the challenging case of objects located within a complex environment resembling a room in a building

    A microwave tomographic imaging approach for multi-bistatic configuration: the choice of the frequency step

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    This paper deals with the application of a frequencydomain microwave-tomography-imaging algorithm to a multibistatic configuration in ground-penetrating-radar applications. First, the authors formulate the inverse problem as a linear one by exploiting the Born approximation. Then, the reconstruction capabilities of the solution algorithm are investigated, and an optimal frequency step to be adopted for the reconstruction is discussed and determined. Finally, inversion results are presented with synthetic data obtained from time-domain simulations and then Fourier transformed in frequency domain
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