H. Ammari, E. Iakovleva, and D. Lesselier, Two Numerical Methods for Recovering Small Inclusions from the Scattering Amplitude at a Fixed Frequency, SIAM Journal on Scientific Computing, vol.27, issue.1, pp.27-130, 2005.
DOI : 10.1137/040612518

URL : https://hal.archives-ouvertes.fr/hal-00637496

H. Ammari and H. Kang, Reconstruction of small inhomogeneities from boundary measurements, Lecture Notes in Mathematics, vol.1846, 2004.
DOI : 10.1007/b98245

F. Cakoni and &. D. Colton, A Qualitative Approach to Inverse Scattering Theory, 2014.
DOI : 10.1007/978-1-4614-8827-9

A. Chambolle, An algorithm for total variation minimization and applications, Journal of Mathematical Imaging and Vision, vol.20, pp.89-97, 2004.

A. Chambolle and &. T. Pock, A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2010.
DOI : 10.1007/s10851-010-0251-1

URL : https://hal.archives-ouvertes.fr/hal-00490826

D. Colton, H. Haddar, and M. Piana, The linear sampling method in inverse electromagnetic scattering theory, Inverse Problems, vol.19, issue.6, pp.105-137, 2003.
DOI : 10.1088/0266-5611/19/6/057

URL : https://hal.archives-ouvertes.fr/hal-00744163

D. Colton and &. R. Kress, Inverse Acoustic and Electromagnetic Scattering Theory, Third Edition, 2013.
DOI : 10.1007/978-1-4614-4942-3

M. Cheney, The linear sampling method and the MUSIC algorithm, Inverse Problems, vol.17, issue.4, pp.591-595, 2001.
DOI : 10.1088/0266-5611/17/4/301

F. Collino, M. B. Fares, and &. H. Haddar, Numerical and analytical studies of the linear sampling method in electromagnetic inverse scattering problems, Inverse Problems, vol.19, issue.6, pp.1279-1298, 2003.
DOI : 10.1088/0266-5611/19/6/004

URL : https://hal.archives-ouvertes.fr/hal-00744159

A. J. Devaney, Super-resolution processing of multi-static data using time reversal and MUSIC. Unpublished paper, preprint available on the author's website, 2000.

H. Haddar and &. , Mdimagh Identification of small inclusions from multistatic data using the reciprocity gap concept Inverse Problems, p.45011

A. Kirsch, The MUSIC-algorithm and the factorization method in inverse scattering theory for inhomogeneous media, Inverse Problems, vol.18, issue.4, pp.1025-1040, 2002.
DOI : 10.1088/0266-5611/18/4/306

A. Kirsch and N. Grinberg, The Factorization Method for Inverse Problems, 2008.
DOI : 10.1093/acprof:oso/9780199213535.001.0001

P. Martin, Multiple Scattering: Interaction of Time-Harmonic Waves with N Obstacles, 2006.
DOI : 10.1017/CBO9780511735110

L. Rudin, S. J. Osher, and &. E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992.
DOI : 10.1016/0167-2789(92)90242-F