03685nam 2200817z- 450 9910674007403321202102113-03921-951-0(CKB)4100000011302321(oapen)https://directory.doabooks.org/handle/20.500.12854/53451(oapen)doab53451(EXLCZ)99410000001130232120202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMicrowave Imaging and Electromagnetic Inverse Scattering ProblemsMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (170 p.)3-03921-950-2 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.History of engineering and technologybicssc3D5G communicationadjoint inversion methodsantenna arrayantenna testingarray diagnosisBayesian compressive sensing (BCS)breast cancerbreast imagingcompressed sensingcontraction integral equation for inversion (CIE-I)contrast source inversion (CSI)contrast-source inversiondiscontinuous Galerkin method (DGM)electrical-property tomographyelectromagnetic inverse scatteringelectromagnetic inverse scattering problemsfinite-difference methodsimage-based approachimaginginverse obstacles probleminverse problemsinverse scatteringinverse source problemjoint sparsityKolmogorov-Smirnov (K-S) testlinear sampling methodmagnetic resonance imagingmicrowave imagingmicrowave imaging profilometrymicrowave plasma diagnosticsnear-field measurementsnonlinear optimizationnonlinear problemorthogonality sampling methodradar-based breast imagingrank minimizationRCS estimationstopping criteriatomographyHistory of engineering and technologyDi Donato Loretoauth1338907Morabito AndreaauthBOOK9910674007403321Microwave Imaging and Electromagnetic Inverse Scattering Problems3059171UNINA