|
|
|
|
LEADER |
03752nma a2200805 u 4500 |
001 |
EB001974419 |
003 |
EBX01000000000000001137321 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
210512 ||| eng |
020 |
|
|
|a 9783039219506
|
020 |
|
|
|a 9783039219513
|
020 |
|
|
|a books978-3-03921-951-3
|
100 |
1 |
|
|a Di Donato, Loreto
|
245 |
0 |
0 |
|a Microwave Imaging and Electromagnetic Inverse Scattering Problems
|h Elektronische Ressource
|
260 |
|
|
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
|
300 |
|
|
|a 1 electronic resource (170 p.)
|
653 |
|
|
|a nonlinear problem
|
653 |
|
|
|a 3D
|
653 |
|
|
|a antenna testing
|
653 |
|
|
|a orthogonality sampling method
|
653 |
|
|
|a contrast source inversion (CSI)
|
653 |
|
|
|a discontinuous Galerkin method (DGM)
|
653 |
|
|
|a inverse scattering
|
653 |
|
|
|a History of engineering and technology / bicssc
|
653 |
|
|
|a imaging
|
653 |
|
|
|a image-based approach
|
653 |
|
|
|a antenna array
|
653 |
|
|
|a linear sampling method
|
653 |
|
|
|a radar-based breast imaging
|
653 |
|
|
|a near-field measurements
|
653 |
|
|
|a Bayesian compressive sensing (BCS)
|
653 |
|
|
|a electromagnetic inverse scattering problems
|
653 |
|
|
|a Kolmogorov-Smirnov (K-S) test
|
653 |
|
|
|a inverse source problem
|
653 |
|
|
|a microwave imaging
|
653 |
|
|
|a breast cancer
|
653 |
|
|
|a magnetic resonance imaging
|
653 |
|
|
|a 5G communication
|
653 |
|
|
|a inverse problems
|
653 |
|
|
|a electrical-property tomography
|
653 |
|
|
|a rank minimization
|
653 |
|
|
|a breast imaging
|
653 |
|
|
|a microwave imaging profilometry
|
653 |
|
|
|a tomography
|
653 |
|
|
|a finite-difference methods
|
653 |
|
|
|a nonlinear optimization
|
653 |
|
|
|a joint sparsity
|
653 |
|
|
|a compressed sensing
|
653 |
|
|
|a electromagnetic inverse scattering
|
653 |
|
|
|a inverse obstacles problem
|
653 |
|
|
|a adjoint inversion methods
|
653 |
|
|
|a contrast-source inversion
|
653 |
|
|
|a contraction integral equation for inversion (CIE-I)
|
653 |
|
|
|a microwave plasma diagnostics
|
653 |
|
|
|a array diagnosis
|
653 |
|
|
|a RCS estimation
|
653 |
|
|
|a stopping criteria
|
700 |
1 |
|
|a Morabito, Andrea
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
|
028 |
5 |
0 |
|a 10.3390/books978-3-03921-951-3
|
856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/2283
|7 0
|x Verlag
|3 Volltext
|
856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/53451
|z DOAB: description of the publication
|
082 |
0 |
|
|a 900
|
082 |
0 |
|
|a 380
|
082 |
0 |
|
|a 600
|
082 |
0 |
|
|a 620
|
520 |
|
|
|a 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.
|