
handle: 11588/469150 , 11591/170309
In this communication we illustrate the employment of a tomographic technique to face the problem of synthetic aperture radar (SAR) imaging in a two-dimensional and scalar geometry and under a multi-frequency/ multi-monostatic measurement configuration. In this context the different points of illumination and observation arise from different passes of the SAR sensor. We perform the analysis and the inversion by through the Singular Value Decomposition (SVD) of the relevant linearized scattering operator. The analysis is comprehensive of a sampling criterion of the scattered field (that is the number and the positions the SAR sensor must occupy) and of an estimate of the resolution achievable in the reconstructions. Finally, we test the proposed approach on a case study.
Mathematical models, Approximation theory, Synthetic aperture radar, Imaging techniques, Image analysis, Singular value decomposition (SVD), Bandwidth, Interferometry, Digital elevation maps (DEM), Microwaves, Tomography, Approximation theory, Bandwidth, Image analysis, Imaging techniques, Interferometry, Mathematical models, Microwaves, Tomography; Digital elevation maps (DEM), Singular value decomposition (SVD); Synthetic aperture radar
Mathematical models, Approximation theory, Synthetic aperture radar, Imaging techniques, Image analysis, Singular value decomposition (SVD), Bandwidth, Interferometry, Digital elevation maps (DEM), Microwaves, Tomography, Approximation theory, Bandwidth, Image analysis, Imaging techniques, Interferometry, Mathematical models, Microwaves, Tomography; Digital elevation maps (DEM), Singular value decomposition (SVD); Synthetic aperture radar
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