Reprint
Microwave Imaging and Electromagnetic Inverse Scattering Problems
Edited by
May 2020
170 pages
- ISBN978-3-03921-950-6 (Paperback)
- ISBN978-3-03921-951-3 (PDF)
This book is a reprint of the Special Issue Microwave Imaging and Electromagnetic Inverse Scattering Problems that was published in
Computer Science & Mathematics
Engineering
Physical Sciences
Summary
Microwave imaging techniques allow for the development of systems that are able to inspect, identify, and characterize in a noninvasive fashion under different scenarios, ranging from biomedical to subsurface diagnostics as well as from surveillance and security applications to nondestructive evaluation. Such great opportunities, though, are actually severely limited by difficulties arising from the solution of the underlying inverse scattering problem. As a result, ongoing research efforts in this area are devoted to developing inversion strategies and experimental apparatus so that they are as reliable and accurate as possible with respect to reconstruction capabilities and resolution performance, respectively. The intent of this Special Issue is to present the experiences of leading scientists in the electromagnetic inverse scattering community, as well as to serve as an assessment tool for people who are new to the area of microwave imaging and electromagnetic inverse scattering problems.
Format
- Paperback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
microwave imaging; tomography; inverse problems; microwave imaging; inverse scattering; Bayesian compressive sensing (BCS); contrast source inversion (CSI); 3D; electromagnetic inverse scattering problems; magnetic resonance imaging; electrical-property tomography; nonlinear optimization; contrast-source inversion; inverse scattering; nonlinear problem; contraction integral equation for inversion (CIE-I); imaging; inverse obstacles problem; inverse source problem; joint sparsity; linear sampling method; microwave imaging; orthogonality sampling method; antenna array; near-field measurements; 5G communication; array diagnosis; rank minimization; compressed sensing; antenna testing; breast imaging; microwave imaging; discontinuous Galerkin method (DGM); contrast source inversion (CSI); stopping criteria; Kolmogorov-Smirnov (K-S) test; RCS estimation; image-based approach; adjoint inversion methods; microwave plasma diagnostics; electromagnetic inverse scattering; microwave imaging profilometry; finite-difference methods; radar-based breast imaging; microwave imaging; breast cancer