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The Effect of the Surface Roughness to the Classification of Buried Cylindrical Targets

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dc.contributor.authorKizilay, Ahmet
dc.contributor.authorYucedag, Senem Makal
dc.contributor.institutionauthorKIZILAY, Ahmet
dc.date.accessioned2026-06-27T13:21:38Z
dc.date.issued2013
dc.description.abstractThe electric field scattered from the buried cylindrical target is calculated by using Equivalence Principle and Moment Method, and the database is formed by using the scattered fields from three cylindrical targets at certain frequencies. Radial Basis Function Network is proposed for target classification. A portion of the database is used to train the network and the rest is used to test the performance of the neural network. This target classification process has been repeated by changing the surface roughness of the medium, in which is the target buried, and effects of the surface roughness to the target classification are investigated.en
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52178
dc.identifier.wos000325005300424
dc.language.isotur
dc.publisherIEEE
dc.relation.conference21st Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjecttarget classification
dc.subjectartificial neural network
dc.subjectelectromagnetic scattering
dc.subjectburied target
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleThe Effect of the Surface Roughness to the Classification of Buried Cylindrical Targets
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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