Target Detection in Hyperspectral Images Using Support Vector Neural Networks Algorithm

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dc.contributor.authorLokman, Gurcan
dc.contributor.authorYilmaz, Guray
dc.date.accessioned2025-03-23T19:48:22Z
dc.date.available2025-03-23T19:48:22Z
dc.date.issued2015
dc.departmentSinop Üniversitesi
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY
dc.description.abstractIn this study, the use of Support Vector Neural Network (SVNN) algorithm is offered for target detection process in HSI. The basic principle in classification algorithms is using characteristics of the data to find classification function that separate the data from each other. Neural Networks are among the non-linear classification method that can perform with high success. The classification success depends on the training data and the training algorithm that are used. SVNN Algorithm is one of the methods used to increase the classification margin of the NNs. In this algorithm is provided a training method that used eigenvalue decay that provides a margin maximization as in SVM for NNs. In this context, a minimization problem that provide margin maximization for target detection in Hyperspectral images is defined and this problem is solved by Genetic Algorithms. In this way an algorithm that has high classification performance arises.
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univ
dc.identifier.endpage1424
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939202718
dc.identifier.scopusqualityN/A
dc.identifier.startpage1421
dc.identifier.urihttps://hdl.handle.net/11486/7562
dc.identifier.wosWOS:000380500900336
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectHyperspectral images
dc.subjectTarget detection
dc.subjectSupport Vector Neural Networks
dc.titleTarget Detection in Hyperspectral Images Using Support Vector Neural Networks Algorithm
dc.typeConference Object

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