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Classification of Cylindrical Targets by Wavelet Transform and ROC Analysis

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dc.contributor.authorMakal, Senem
dc.contributor.authorDurak, Luetfiye
dc.contributor.authorKizilay, Ahmet
dc.contributor.institutionauthorKIZILAY, Ahmet
dc.date.accessioned2026-06-27T13:06:14Z
dc.date.issued2008
dc.description.abstractA set of features are derived from scattered fields calculated by using the image technique formulation and Method of Moment (MoM) and a database is formed by using two cylindrical targets at certain angles. After the application of wavelet transform for feature extraction from this database, the coefficients of the signal are used as the inputs of the artificial neural networks. The real performances of the networks are investigated by ROC (Receiver Operating Characteristic) analysis. This work aims to diminish the size of the database smaller by wavelet transform for finding the corresponding cylindrical target from the scattered field values.en
dc.identifier.endpage484
dc.identifier.isbn978-1-4244-1998-2
dc.identifier.startpage481
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49766
dc.identifier.wos000261359200119
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 16th Signal Processing and Communications Applications Conference
dc.relation.ispartof2008 IEEE 16TH SIGNAL PROCESSING, COMMUNICATION AND APPLICATIONS CONFERENCE, VOLS 1 AND 2
dc.subjectEngineering
dc.subjectImaging Science & Photographic Technology
dc.subjectTelecommunications
dc.titleClassification of Cylindrical Targets by Wavelet Transform and ROC Analysis
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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