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相关论文: Reconstruction methods for inverse scattering prob…

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This paper is concerned with uniqueness, phase retrieval and shape reconstruction methods for inverse elastic scattering problems with phaseless far field data. Systematically, we study two basic models, i.e., inverse scattering of plane…

偏微分方程分析 · 数学 2020-01-08 Xia Ji , Xiaodong Liu

This paper is concerned with a numerical method for a 3D coefficient inverse problem with phaseless scattering data. These are multi-frequency data generated by a single direction of the incident plane wave. Our numerical procedure consists…

数值分析 · 数学 2017-10-16 Michael V. Klibanov , Dinh-Liem Nguyen , Loc H. Nguyen

In this work we shall review the (phased) inverse scattering problem and then pursue the phaseless reconstruction from far-field data with the help of the concept of scattering coefficients. We perform sensitivity, resolution and stability…

数值分析 · 数学 2015-10-15 Habib Ammari , Yat Tin Chow , Jun Zou

We consider the inverse source problem of determining an acoustic source from multi-frequency phaseless far-field data. By supplementing some reference point sources to the inverse source model, we develop a novel strategy for recovering…

数值分析 · 数学 2020-02-11 Deyue Zhang , Yukun Guo , Fenglin Sun , Xianchao Wang

This paper is concerned with uniqueness, phase retrieval and shape reconstruction methods for solving inverse electromagnetic source scattering problems with multi-frequency sparse phased or phaseless far field data. With the phased data,…

偏微分方程分析 · 数学 2019-06-07 Xia Ji , Xiaodong Liu

This paper is concerned with the inverse problem to recover a compactly supported Schr{\"o}dinger potential given the differential scattering cross section, i.e. the modulus, but not the phase of the scattering amplitude. To compensate for…

偏微分方程分析 · 数学 2018-12-26 Alexey Agaltsov , Thorsten Hohage , Roman Novikov

This paper is concerned with the inverse acoustic scattering problem with phaseless total-field data at a fixed frequency. An approximate factorization method is developed to numerically reconstruct both the location and shape of the…

数值分析 · 数学 2020-10-15 Bo Zhang , Haiwen Zhang

We consider the one-dimensional Schr\"odinger equation with a potential satisfying the standard assumptions of the inverse scattering theory and supported on the half-line $x\ge 0$. For this equation at fixed positive energy we give…

数学物理 · 物理学 2015-03-10 Roman Novikov

Similar to the obstacle or medium scattering problems, an important property of the phaseless far field patterns for source scattering problems is the translation invariance. Thus it is impossible to reconstruct the location of the…

偏微分方程分析 · 数学 2018-08-08 Xia Ji , Xiaodong Liu , Bo Zhang

This paper investigates the inverse biharmonic scattering problems of identifying the shape and location of the obstacle with phased and phaseless measurement data. A direct imaging method based on reverse time migration is proposed for…

偏微分方程分析 · 数学 2026-05-12 Tielei Zhu , Zhihao Ge

A rigorous mathematical model and an efficient computational method are proposed to solving the inverse elastic surface scattering problem which arises from the near-field imaging of periodic structures. We demonstrate how an enhanced…

偏微分方程分析 · 数学 2017-12-08 Huaian Diao , Peijun Li , Xiaokai Yuan

The inverse scattering problem is of critical importance in a number of fields, including medical imaging, sonar, sensing, non-destructive evaluation, and several others. The problem of interest can vary from detecting the shape to the…

计算机视觉与模式识别 · 计算机科学 2024-07-16 Doga Dikbayir , Abdel Alsnayyan , Vishnu Naresh Boddeti , Balasubramaniam Shanker , Hasan Metin Aktulga

This paper is concerned with the inverse source problem of reconstructing an unknown acoustic excitation from phaseless measurements of the radiated fields away at multiple frequencies. It is well known that the non-uniqueness issue is a…

偏微分方程分析 · 数学 2018-08-01 Deyue Zhang , Yukun Guo , Jingzhi Li , Hongyu Liu

This is a continuation of two recent publications of the authors about reconstruction procedures for 3-d phaseless inverse scattering problems. The main novelty of this paper is that the Born approximation for the case of the wave-like…

数学物理 · 物理学 2015-05-11 Michael V. Klibanov , Vladimir G. Romanov

In this paper, we consider the inverse shape problem of recovering small and extended isotropic scatterers with a conductive boundary condition. Here, we assume that the measured far-field data is known at a fixed wave number. We will…

偏微分方程分析 · 数学 2023-10-13 Rafael Ceja Ayala , Isaac Harris

The 3-d inverse scattering problem of the reconstruction of the unknown dielectric permittivity in the generalized Helmholtz equation is considered. The main difference with the conventional inverse scattering problems is that only the…

数学物理 · 物理学 2016-01-20 Michael V. Klibanov , Vladimir G. Romanov

This paper concerns an inverse elastic scattering problem which is to determine the location and the shape of a rigid obstacle from the phased or phaseless far-field data for a single incident plane wave. By introducing the Helmholtz…

偏微分方程分析 · 数学 2018-12-03 Heping Dong , Jun Lai , Peijun Li

This paper addresses the challenging and interesting inverse problem of reconstructing the spatially varying dielectric constant of a medium from phaseless backscattering measurements generated by single-point illumination. The underlying…

数值分析 · 数学 2025-06-30 Thuy T. Le , Phuong M. Nguyen , Loc H. Nguyen

A special class of integrable nonlinear differential equations related to A.III-type symmetric spaces and having additional reductions are analyzed via the inverse scattering method (ISM). Using the dressing method we construct two classes…

可精确求解与可积系统 · 物理学 2011-10-21 Vladimir S. Gerdjikov , Georgi G. Grahovski , Alexander V. Mikhailov , Tihomir I. Valchev

We consider the inverse problem of determining an unknown vectorial source current distribution associated with the homogeneous Maxwell system. We propose a novel non-iterative reconstruction method for solving the aforementioned inverse…

偏微分方程分析 · 数学 2018-01-11 Xianchao Wang , Minghui Song , Yukun Guo , Hongjie Li , Hongyu Liu
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