1 citations · 2 across the 5 of their papers we have counts for
6 papers
Topological properties and a multiplicative Bloch-Floquet-Zak transform for scattering by self-similar or fractal media
Habib Ammari, Yat Tin Chow, Fuqun Han
We develop the first rigorous topological framework for an auxiliary boundary-integral model motivated by physical scaling identities for wave scattering from self-similar or fract…
A Weighted Sampling Method for Inverse Medium Problem with Limited Aperture
Fuqun Han, Kazufumi Ito
Inverse medium scattering problems arise in many applications, but in practice, the measurement data are often restricted to a limited aperture by physical or experimental constrai…
A Direct Sampling Method and Its Integration with Deep Learning for Inverse Scattering Problems with Phaseless Data
Jianfeng Ning, Fuqun Han, Jun Zou
We consider in this work an inverse acoustic scattering problem when only phaseless data is available. The inverse problem is highly nonlinear and ill-posed due to the lack of the…
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems
Jianfeng Ning, Fuqun Han, Jun Zou
In this work, we focus on the inverse medium scattering problem (IMSP), which aims to recover unknown scatterers based on measured scattered data. Motivated by the efficient direct…
A Direct Sampling Method for the Inversion of the Radon Transform
Yat Tin Chow, Fuqun Han, Jun Zou
We propose a novel direct sampling method (DSM) for the effective and stable inversion of the Radon transform. The DSM is based on a generalization of the important almost orthogon…
A Direct Sampling Method for Simultaneously Recovering Inhomogeneous Inclusions of Different Nature
Yat Tin Chow, Fuqun Han, Jun Zou
In this work, we investigate a class of elliptic inverse problems and aim to simultaneously recover multiple inhomogeneous inclusions arising from two different physical parameters…