eprintid: 806 rev_number: 7 eprint_status: archive userid: 10 dir: disk0/00/00/08/06 datestamp: 2020-11-22 10:20:15 lastmod: 2020-11-22 10:20:15 status_changed: 2020-11-22 10:20:15 type: monograph metadata_visibility: show creators_name: SALUCCI, Marco creators_name: POLO, Alessandro creators_name: MASSA, Andrea creators_id: marco.salucci@unitn.it creators_id: alessandro.polo.1@unitn.it creators_id: andrea.massa@unitn.it title: Imaging Inhomogeneous Dielectric Targets Through an Innovative Multi‐Scaling Inverse Scattering Approach ispublished: pub subjects: AWC full_text_status: public monograph_type: technical_report keywords: Inverse Scattering, Microwave Imaging, Iterative Multi-Scaling Approach, New Integral Equation abstract: In this work, an innovative approach for solving the fully non‐linear inverse scattering problem (ISP) is presented. It is based on the integration of the iterative multi‐scaling approach (IMSA) and a New Integral Equation (NIE) method. On the one hand, the IMSA enables a significant reduction of the ratio between problem unknowns and available/non‐redundant data coming from scattered field observations. On the other hand, the NIE allows to reformulate the IS equations such that a lower non‐linearity is yielded when tackling the retrieval of non‐weak scatterers. The IMSA‐NIE method is tested against a quite challenging IS problem concerned with the imaging of an inhomogeneous unknown target comprising different values of dielectric permittivity. Numerical results are shown to assess the effectiveness of the proposed method also with comparisons against competitive state‐of‐the‐art methods. publisher: ELEDIA@UniTN (DISI - University of Trento) referencetext: [1] G. Oliveri, Y. Zhong, X. Chen, and A. Massa, "Multiresolution subspace-based optimization method for inverse scattering problems," J. Opt. Soc. Am. A, vol. 28, no. 10, pp. 2057-2069, Oct. 2011. [2] X. Ye, L. Poli, G. Oliveri, Y. Zhong, K. Agarwal, A. 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