Target detection in SAR images using codifference and directional filters

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.volumeNumber7699en_US
dc.contributor.authorDuman, Kaanen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialOrlando, Florida, United Statesen_US
dc.date.accessioned2016-02-08T12:21:34Z
dc.date.available2016-02-08T12:21:34Z
dc.date.issued2010en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionConference name: Proceedings of SPIE, Algorithms for Synthetic Aperture Radar Imagery XVIIen_US
dc.descriptionDate of Conference: 8–9 April 2010en_US
dc.description.abstractTarget detection in SAR images using region covariance (RC) and codifference methods is shown to be accurate despite the high computational cost. The proposed method uses directional filters in order to decrease the search space. As a result the computational cost of the RC based algorithm significantly decreases. Images in MSTAR SAR database are first classified into several categories using directional filters (DFs). Target and clutter image features are extracted using RC and codifference methods in each class. The RC and codifference matrix features are compared using l 1 norm distance metric. Support vector machines which are trained using these matrices are also used in decision making. Simulation results are presented. © 2010 Copyright SPIE - The International Society for Optical Engineering.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:21:34Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010en
dc.identifier.doi10.1117/12.850206en_US
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11693/28472
dc.language.isoEnglishen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.850206en_US
dc.source.titleProceedings of SPIEen_US
dc.subjectdirectional filters (DFs)en_US
dc.subjectSynthetic aperture radar (SAR) imagesen_US
dc.subjectClutter imagesen_US
dc.subjectComputational costsen_US
dc.subjectDirectional filtersen_US
dc.subjectDistance metricsen_US
dc.subjectmatrixen_US
dc.subjectRegion covarianceen_US
dc.subjectSAR Imagesen_US
dc.subjectSearch spacesen_US
dc.subjectSimulation resulten_US
dc.subjectSynthetic aperture radar (SAR) imagesen_US
dc.subjectTarget detectionen_US
dc.subjectAlgorithmsen_US
dc.subjectAutomatic target recognitionen_US
dc.subjectDecision makingen_US
dc.subjectGearsen_US
dc.subjectImaging systemsen_US
dc.subjectRadar imagingen_US
dc.subjectSupport vector machinesen_US
dc.subjectSynthetic aperture radaren_US
dc.subjectSynthetic aperturesen_US
dc.subjectTracking radaren_US
dc.subjectRadar target recognitionen_US
dc.titleTarget detection in SAR images using codifference and directional filtersen_US
dc.typeConference Paperen_US

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