A new methodology for imaging two-dimensional (2-D) free-space targets jointly processing multi-physics (MP) data collected with microwave and ultrasound sensors is presented. The proposed strategy combines reciprocal regularization constraints, which enforce structural similarity between the two underlying physics, with an iterative multi-scale (MS) meta-level inversion scheme to effectively tackle both the non-linearity and the ill-posedness of the MP inverse scattering problem (ISP) at hand. A set of representative numerical results is reported to assess, also in a comparative fashion, the imaging capabilities of the proposed MS-MP technique.
Multi-Scale Multi-Physics Imaging of Free-Space Targets With Electromagnetic and Acoustic Data / Lin, Zhichao; Salucci, Marco; Li, Maokun; Li, Baozhu; Massa, Andrea. - In: IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES. - ISSN 2379-8793. - STAMPA. - 11:(2026), pp. 22-36. [10.1109/jmmct.2025.3634286]
Multi-Scale Multi-Physics Imaging of Free-Space Targets With Electromagnetic and Acoustic Data
Salucci, Marco;Li, Maokun;Massa, Andrea
2026-01-01
Abstract
A new methodology for imaging two-dimensional (2-D) free-space targets jointly processing multi-physics (MP) data collected with microwave and ultrasound sensors is presented. The proposed strategy combines reciprocal regularization constraints, which enforce structural similarity between the two underlying physics, with an iterative multi-scale (MS) meta-level inversion scheme to effectively tackle both the non-linearity and the ill-posedness of the MP inverse scattering problem (ISP) at hand. A set of representative numerical results is reported to assess, also in a comparative fashion, the imaging capabilities of the proposed MS-MP technique.| File | Dimensione | Formato | |
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