Analysis of a multi-frequency electromagnetic imaging functional for thin, crack-like electromagnetic inclusions

Recently, a non-iterative multi-frequency subspace migration imaging algorithm was developed based on an asymptotic expansion formula for thin, curve-like electromagnetic inclusions and the structure of singular vectors in the Multi-Static Response (MSR) matrix. The present study examines the structure of subspace migration imaging functional and proposes an improved imaging functional weighted by the frequency. We identify the relationship between the imaging functional and Bessel functions of integer order of the first kind. Numerical examples for single and multiple inclusions show that the presented algorithm not only retains the advantages of the traditional imaging functional but also improves the imaging performance.

[1]  Stefan Ritter,et al.  A linear sampling method for inverse scattering from an open arc Inverse Problems , 2000 .

[2]  Yong-Ki Ma,et al.  A Topological Derivative Based Non-Iterative Electromagnetic Imaging of Perfectly Conducting Cracks , 2012 .

[3]  Dominique Lesselier,et al.  Fast electromagnetic imaging of thin inclusions in half-space affected by random scatterers , 2012 .

[4]  Peter Monk,et al.  The Linear Sampling Method for Solving the Electromagnetic Inverse Scattering Problem , 2002, SIAM J. Sci. Comput..

[5]  Won-Kwang Park,et al.  Multi-frequency topological derivative for approximate shape acquisition of curve-like thin electrom , 2012, 1207.0582.

[6]  O. Dorn,et al.  Level set methods for inverse scattering , 2006 .

[7]  Dominique Lesselier,et al.  Electromagnetic MUSIC-type imaging of perfectly conducting, arc-like cracks at single frequency , 2009, J. Comput. Phys..

[8]  Won-Kwang Park,et al.  Topological derivative strategy for one-step iteration imaging of arbitrary shaped thin, curve-like electromagnetic inclusions , 2012, J. Comput. Phys..

[9]  Habib Ammari,et al.  Asymptotic Imaging of Perfectly Conducting Cracks , 2010, SIAM J. Sci. Comput..

[10]  Josselin Garnier,et al.  Imaging Schemes for Perfectly Conducting Cracks , 2011, SIAM J. Appl. Math..

[11]  Some properties of subspace migrations in the limited-view inverse scattering problems , 2013 .

[12]  Won-Kwang Park,et al.  NON-ITERATIVE IMAGING OF THIN ELECTROMAGNETIC INCLUSIONS FROM MULTI-FREQUENCY RESPONSE MATRIX , 2010 .

[13]  Yong-Ki Ma,et al.  Analysis of Topological Derivative Function for a Fast Electromagnetic Imaging of Perfectly Conducing Cracks , 2012 .

[14]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[15]  Won-Kwang Park,et al.  Analysis of subspace migrations in limited-view inverse scattering problems , 2013, Appl. Math. Lett..

[17]  Dominique Lesselier,et al.  MUSIC-type imaging of a thin penetrable inclusion from its multi-static response matrix , 2009 .

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

[19]  Josselin Garnier,et al.  Stability and Resolution Analysis for a Topological Derivative Based Imaging Functional , 2012, SIAM J. Control. Optim..

[20]  Won-Kwang Park,et al.  Multi-frequency based location search algorithm of small electromagnetic inhomogeneities embedded in two-layered medium , 2012, Comput. Phys. Commun..

[21]  Habib Ammari,et al.  An Introduction to Mathematics of Emerging Biomedical Imaging , 2008 .

[22]  Miguel Moscoso,et al.  Crack reconstruction using a level-set strategy , 2009, J. Comput. Phys..

[23]  E. Beretta,et al.  Asymptotic formulas for perturbations of the electromagnetic fields in the presence of thin imperfections , 2003 .

[24]  Won-Kwang Park,et al.  Structural Behavior of the MUSIC-Type Algorithm for Imaging Perfectly Conducting Cracks , 2013 .

[25]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[26]  Won-Kwang Park On the imaging of thin dielectric inclusions buried within a half-space , 2010 .

[27]  Dominique Lesselier,et al.  Reconstruction of thin electromagnetic inclusions by a level-set method , 2009 .