Real time classification of targets using waveforms in resonance scattering region

dc.contributor.author	Selver, M.A.
dc.contributor.author	Zoral, E.Y.
dc.contributor.author	Secmen, M.
dc.date.accessioned	2021-01-25T20:49:28Z
dc.date.available	2021-01-25T20:49:28Z
dc.date.issued	2015
dc.identifier	10.1109/EuMC.2015.7346080
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964339444&doi=10.1109%2fEuMC.2015.7346080&partnerID=40&md5=43b368a93f0d6cd6fe79f1832bdf34f7
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10246
dc.description.abstract	The classification of similar shaped objects from scattered electromagnetic waves is a difficult problem, as it heavily depends on the aspect angle. The reduction of the adverse effects of the aspect angle is possible by extracting distinguishable feature
dc.language.iso	English
dc.publisher	European Microwave Week 2015: "Freedom Through Microwaves", EuMW 2015 - Conference Proceedings; 2015 45th European Microwave Conference Proceedings, EuMC
dc.title	Real time classification of targets using waveforms in resonance scattering region
dc.type	Conference Paper
dc.relation.firstpage	1582
dc.relation.lastpage	1585
dc.description.affiliations	Electrical and Electronics Engineering Department, Dokuz Eylül University, Buca, Izmir, 35160, Turkey; Electrical Engineering Department, Yasar University, Bornova, Izmir, Turkey

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