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dc.contributor.authorSelver, M.A.
dc.contributor.authorZoral, E.Y.
dc.contributor.authorSecmen, M.
dc.date.accessioned2021-01-25T20:49:28Z
dc.date.available2021-01-25T20:49:28Z
dc.date.issued2015
dc.identifier10.1109/EuRAD.2015.7346362
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84962852760&doi=10.1109%2fEuRAD.2015.7346362&partnerID=40&md5=3c90d892093e0d9cc2b416ce84f0695d
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10247
dc.description.abstractThe 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.isoEnglish
dc.publisher2015 European Radar Conference, EuRAD 2015 - Proceedings
dc.titleReal time classification of targets using waveforms in resonance scattering region
dc.typeConference Paper
dc.relation.firstpage560
dc.relation.lastpage563
dc.description.affiliationsElectrical and Electronics Engineering Department, Dokuz Eylül University, Buca, Izmir, 35160, Turkey; Electrical Engineering Department, Yas̈ar University, Bornova, Izmir, Turkey


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