Identification of obstacles using only the scattered P-waves or the scattered S-waves
Drossos Gintides Mourad Sini
Inverse Problems & Imaging 2012, 6(1): 39-55 doi: 10.3934/ipi.2012.6.39
In this work, we are concerned with the inverse scattering by obstacles for the linearized, homogeneous and isotropic elastic model. We study the uniqueness issue of detecting smooth obstacles from the knowledge of elastic far field patterns. We prove that the 'pressure' parts of the far field patterns over all directions of measurements corresponding to all 'pressure' (or all 'shear') incident plane waves are enough to guarantee uniqueness. We also establish that the shear parts of the far field patterns corresponding to all the 'shear' (or all 'pressure') incident waves are also enough. This shows that any of the two different types of waves is enough to detect obstacles at a fixed frequency. The proof is reconstructive and it can be used to set up an algorithm to detect the obstacle from the mentioned data.
keywords: linear elasticity. Inverse scattering problem
Local stability for soft obstacles by a single measurement
Eva Sincich Mourad Sini
Inverse Problems & Imaging 2008, 2(2): 301-315 doi: 10.3934/ipi.2008.2.301
We consider an inverse scattering problem arising in target identification. We prove a local stability result of logarithmic type for the determination of a sound soft obstacle from the far field measurements associated to one single incident wave.
keywords: stability. soft obstacles inverse scattering problem
Inverse acoustic obstacle scattering problems using multifrequency measurements
Mourad Sini Nguyen Trung Thành
Inverse Problems & Imaging 2012, 6(4): 749-773 doi: 10.3934/ipi.2012.6.749
In this paper, we investigate the problem of reconstructing sound-soft acoustic obstacles using multifrequency far field measurements corresponding to one direction of incidence. The idea is to obtain a rough estimate of the obstacle's shape at the lowest frequency using the least-squares approach, then refine it using a recursive linearization algorithm at higher frequencies. Using this approach, we show that an accurate reconstruction can be obtained without requiring a good initial guess. The analysis is divided into three steps. Firstly, we give a quantitative estimate of the domain in which the least-squares objective functional, at the lowest frequency, has only one extreme (minimum) point. This result enables us to obtain a rough approximation of the obstacle at the lowest frequency from initial guesses in this domain using convergent gradient-based iterative procedures. Secondly, we describe the recursive linearization algorithm and analyze its convergence for noisy data. We qualitatively explain the relationship between the noise level and the resolution limit of the reconstruction. Thirdly, we justify a conditional asymptotic Hölder stability estimate of the illuminated part of the obstacle at high frequencies. The performance of the algorithm is illustrated with numerical examples.
keywords: Inverse obstacle scattering convergence recursive linearization algorithm high frequency stability. multifrequency
The Green function of the interior transmission problem and its applications
Kyoungsun Kim Gen Nakamura Mourad Sini
Inverse Problems & Imaging 2012, 6(3): 487-521 doi: 10.3934/ipi.2012.6.487
The interior transmission problem appears naturally in the scattering theory. In this paper, we construct the Green function associated to this problem. In addition, we provide point-wise estimates of this Green function similar to those known for the Green function related to the classical transmission problems. These estimates are, in particular, useful to the study of various inverse scattering problems. Here, we apply them to justify some asymptotic formulas already used for detecting partially coated dielectric mediums from far field measurements.
keywords: interior transmission problem pseudodifferential operators. Green function
Mathematical imaging using electric or magnetic nanoparticles as contrast agents
Durga Prasad Challa Anupam Pal Choudhury Mourad Sini
Inverse Problems & Imaging 2018, 12(3): 573-605 doi: 10.3934/ipi.2018025

We analyse mathematically the imaging modality using electromagnetic nanoparticles as contrast agent. This method uses the electromagnetic fields, collected before and after injecting electromagnetic nanoparticles, to reconstruct the electrical permittivity. The particularity here is that these nanoparticles have high contrast electric or magnetic properties compared to the background media. First, we introduce the concept of electric (or magnetic) nanoparticles to describe the particles, of relative diameter $δ$(relative to the size of the imaging domain), having relative electric permittivity (or relative magnetic permeability) of order $δ^{-α}$ with a certain $α>0$, as $0<δ<<1$. Examples of such material, used in the imaging community, are discussed. Second, we derive the asymptotic expansion of the electromagnetic fields due to such singular contrasts. We consider here the scalar electromagnetic model. Using these expansions, we extract the values of the total fields inside the domain of imaging from the scattered fields measured before and after injecting the nanoparticles. From these total fields, we derive the values of the electric permittivity at the expense of numerical differentiations.

keywords: Imaging inverse problems electromagnetic nanoparticles Helmholtz equation scattering

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