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An innovative inverse scattering (IS) methodology is presented for imaging targets within inhomogeneous media. It consists of a joint inversion scheme enabling the simultaneous processing of electromagnetic (EM) and acoustic (AC) data while iteratively zooming on the detected region-of-interest (RoI) in which the scatterer has been detected. Robust and reliable guesses are yielded thanks to the combination of multiphysics data, providing complementary information on the imaged domain, with the available a-priori knowledge of the reference inhomogeneous distribution. Furthermore, the integration within a multiscale procedure allows one to keep the ratio between unknowns and data as low as possible, thus counteracting the non-linearity while further regularizing the inversion thanks to the introduction of progressively-acquired information. A preliminary numerical benchmark is shown to assess the capabilities of the proposed multiscale-multiphysics methodology.
Salucci et al. (Sun,) studied this question.
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