In this paper, an effective microwave imaging method based on the Compressive Processing (CP) paradigm combined with an Iterative Multi-Scaling (IMS) approach within the contrast source formulation is presented. For each step of the IMS procedure, a customized relevance vector machine (RVM) is employed to retrieve the unknowns contrast source coefficients of a suitable sparsification basis and driven to search for the solution within a restricted domain defined according to the information progressively acquired on the scatterer features.
Multi-scale compressive processing for inverse scattering within the contrast source formulation / Salucci, M.; Poli, L.; Anselmi, N.; Massa, A.. - STAMPA. - (2019), pp. 1017-1018. (Intervento presentato al convegno 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 tenutosi a Hilton Atlanta Hotel, Atlanta, GA, USA, nel 7-12 July 2019) [10.1109/APUSNCURSINRSM.2019.8889328].
Multi-scale compressive processing for inverse scattering within the contrast source formulation
Salucci M.;Poli L.;Anselmi N.;Massa A.
2019-01-01
Abstract
In this paper, an effective microwave imaging method based on the Compressive Processing (CP) paradigm combined with an Iterative Multi-Scaling (IMS) approach within the contrast source formulation is presented. For each step of the IMS procedure, a customized relevance vector machine (RVM) is employed to retrieve the unknowns contrast source coefficients of a suitable sparsification basis and driven to search for the solution within a restricted domain defined according to the information progressively acquired on the scatterer features.File | Dimensione | Formato | |
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Multi-Scale Compressive Processing for Inverse Scattering within the Contrast Source Formulation.pdf
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