Orthogonality Sampling Method for the Electromagnetic Inverse Scattering Problem

This paper is concerned with the electromagnetic inverse scattering problem that aims to determine the location and shape of anisotropic scatterers from far field data (at a fixed frequency). We study the orthogonality sampling method which is a simple, fast and robust imaging method for solving the electromagnetic inverse shape problem. We first provide a theoretical foundation for the sampling method and a resolution analysis of its imaging functional. We then establish an equivalent relation between the orthogonality sampling method and direct sampling method as well as resolution analysis for the latter. The analysis used to justify the Factorization method for the far field operator plays an important role in the justifications. Finally, we present some numerical examples to validate the performance of the sampling methods for anisotropic scatterers in three dimensions.

[1]  Fioralba Cakoni,et al.  Inverse scattering theory and transmission eigenvalues , 2016 .

[2]  Roland Potthast,et al.  A study on orthogonality sampling , 2010 .

[3]  Bangti Jin,et al.  A direct sampling method for inverse electromagnetic medium scattering , 2012, 1212.5085.

[4]  R. Kress,et al.  Inverse Acoustic and Electromagnetic Scattering Theory , 1992 .

[5]  Qiang Chen,et al.  A sampling method for inverse scattering in the time domain , 2010 .

[6]  Roland Griesmaier,et al.  Multi-frequency orthogonality sampling for inverse obstacle scattering problems , 2011 .

[7]  Peter Monk,et al.  The Linear Sampling Method in Inverse Electromagnetic Scattering , 2010 .

[8]  Fioralba Cakoni,et al.  On the Factorization Method for a Far Field Inverse Scattering Problem in the Time Domain , 2019, SIAM J. Math. Anal..

[9]  Houssem Haddar,et al.  A generalized formulation of the linear sampling method with exact characterization of targets in terms of farfield measurements , 2014 .

[10]  Armin Lechleiter,et al.  Indicator Functions for Shape Reconstruction Related to the Linear Sampling Method , 2015, SIAM J. Imaging Sci..

[11]  G. Nakamura,et al.  Corrigendum: Linear sampling method for identifying cavities in a heat conductor , 2011, 1112.5931.

[12]  Xia Ji,et al.  Direct sampling methods for inverse elastic scattering problems , 2017, 1711.00626.

[13]  Al Zaalig,et al.  DIRECT SAMPLING METHODS FOR INVERSE SCATTERING PROBLEMS , 2017 .

[14]  Dinh-Liem Nguyen Direct and inverse electromagnetic scattering problems for bi-anisotropic media , 2019, Inverse Problems.

[15]  Fioralba Cakoni,et al.  Direct imaging of small scatterers using reduced time dependent data , 2017, J. Comput. Phys..

[16]  Xiaodong Liu,et al.  A novel sampling method for multiple multiscale targets from scattering amplitudes at a fixed frequency , 2017, 1701.00537.

[17]  Gang Bao,et al.  Numerical solution of an inverse medium scattering problem for Maxwell's Equations at fixed frequency , 2009, J. Comput. Phys..

[18]  Ronald H. W. Hoppe,et al.  Finite element methods for Maxwell's equations , 2005, Math. Comput..

[19]  I. Harris,et al.  Analysis of new direct sampling indicators for far-field measurements , 2019, Inverse Problems.

[20]  Thorsten Hohage,et al.  On the numerical solution of a three-dimensional inverse medium scattering problem , 2001 .

[21]  N I Grinberg,et al.  The Factorization Method for Inverse Problems , 2007 .

[22]  Jun Liu,et al.  Two direct factorization methods for inverse scattering problems , 2018, Inverse Problems.

[23]  A. Kirsch The factorization method for Maxwell's equations , 2004 .

[24]  H. Haddar Analysis of Some Qualitative Methods for Inverse Electromagnetic Scattering Problems , 2015 .

[25]  Maya de Buhan,et al.  Numerical resolution of an electromagnetic inverse medium problem at fixed frequency , 2017, Comput. Math. Appl..