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Microwave Imaging and Electromagnetic Inverse Scattering Problems
Loreto Di Donato and Andrea F. Morabito
2020
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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.
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Keywords
- 3D
- 5G communication
- adjoint inversion methods
- antenna array
- antenna testing
- array diagnosis
- Bayesian compressive sensing (BCS)
- Breast cancer
- breast imaging
- compressed sensing
- contraction integral equation for inversion (CIE-I)
- contrast source inversion (CSI)
- contrast-source inversion
- discontinuous Galerkin method (DGM)
- electrical-property tomography
- electromagnetic inverse scattering
- electromagnetic inverse scattering problems
- finite-difference methods
- image-based approach
- imaging
- inverse obstacles problem
- inverse problems
- inverse scattering
- inverse source problem
- joint sparsity
- Kolmogorov-Smirnov (K-S) test
- linear sampling method
- Magnetic Resonance Imaging
- microwave imaging
- microwave imaging profilometry
- microwave plasma diagnostics
- near-field measurements
- nonlinear optimization
- nonlinear problem
- orthogonality sampling method
- radar-based breast imaging
- rank minimization
- RCS estimation
- stopping criteria
- Tomography
Links
DOI: 10.3390/books978-3-03921-951-3Editions
