An auto-classification procedure for concealed weapon detection in millimeter-wave radiometric imaging systems

Basit Öğe Kaydı
dc.authorid0000-0002-1762-8780en_US
dc.contributor.authorIşıker, Hakan
dc.contributor.authorÜnal, İlhami
dc.contributor.authorTekbaş, Mustafa
dc.contributor.authorÖzdemir, Caner
dc.date.accessioned2019-12-06T21:15:35Z
dc.date.available2019-12-06T21:15:35Z
dc.date.issued2018
dc.departmentKMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.descriptionWOS:000424280900010en_US
dc.description.abstractIn this work, we developed and proposed an auto-classification technique for concealed weapon detection (CWD) for passive millimeter-wave (PMMW) imaging systems. This technique has the ability to detect, classify and image hidden objects beneath the cloth of human targets. The algorithm was based on segmentation of normalized gray-scale images for raw passive millimeter-wave captured images and employing a decisive criterion for the classification of the targets. First, we tested our algorithm with the simulated data that were created numerically. Next, we examined our CWD technique with the measured data that were collected with PMMW radiometric imaging system at Marmara Research Center of TUBITAK. After producing the raw passive radar images, we have applied our passive CWD technique to the measured raw images to assess the performance of the algorithm. Produced edge-detected final images of the concealed objects provide successful operation of the proposed technique.en_US
dc.description.sponsorshipMersin University Scientific Research UnitMersin University [2017-1-TP3-2129]; TUBITAK under DPT [2008K120300]en_US
dc.description.sponsorshipTUBITAK under DPT, Grant/Award Number: 2008K120300; Mersin University Scientific Research Unit, Grant/Award Number: 2017-1-TP3-2129.en_US
dc.identifier.citationIşıker, H., Ünal, I., Tekbaş, M., Özdemir, C. (2018). An auto-classification procedure for concealed weapon detection in millimeter-wave radiometric imaging systems. Microwave and Optical Technology Letters, 60, 3, 583-594.
dc.identifier.doi10.1002/mop.31005
dc.identifier.endpage594en_US
dc.identifier.issn0895-2477
dc.identifier.issn1098-2760
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85041712563
dc.identifier.scopusqualityQ2
dc.identifier.startpage583en_US
dc.identifier.urihttps://dx.doi.org/10.1002/mop.31005
dc.identifier.urihttps://hdl.handle.net/11492/2646
dc.identifier.volume60en_US
dc.identifier.wosWOS:000424280900010
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorTekbaş, Mustafa
dc.language.isoen
dc.publisherWileyen_US
dc.relation.journalMicrowave and Optical Technology Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConcealed Weapon Detectionen_US
dc.subjectPassive Millimeter Wave Imagingen_US
dc.subjectRadar Imaging and Autoclassificationen_US
dc.titleAn auto-classification procedure for concealed weapon detection in millimeter-wave radiometric imaging systemsen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Işıker, Hakan 2018.pdf
Boyut:
1.35 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Elektrik Elektronik Mühendisliği Bölümü, Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu