Comparison of Semantic Classification Algorithms on SAR Images

dc.contributor.authorTurkmenli, Ilter
dc.contributor.authorKayabol, Koray
dc.contributor.authorAptoula, Erchan
dc.date.accessioned2025-10-29T11:36:07Z
dc.date.issued2018
dc.departmentFakülteler, Mühendislik Fakültesi, Elektronik Mühendisliği Bölümü
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
dc.description.abstractThe improvements in SAR systems lead to obtain higher resolution images and consequently to increase the need for semantic classification of these images. In this paper, approximate sparse multinomial logistic regression (ASMLR) method is proposed for semantic classification of SAR images. Real SAR images are patch-based semantically classified using different feature extraction and classification methods and the classification performances are compared.
dc.description.sponsorshipIEEE,Huawei,Aselsan,NETAS,IEEE Turkey Sect,IEEE Signal Proc Soc,IEEE Commun Soc,ViSRATEK,Adresgezgini,Rohde & Schwarz,Integrated Syst & Syst Design,Atilim Univ,Havelsan,Izmir Katip Celebi Univ
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85050798955
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14854/13070
dc.identifier.wosWOS:000511448500112
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2018 26th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectSAR image
dc.subjectfeature extraction
dc.subjectpatch based semantic classification
dc.subjectASMLR
dc.titleComparison of Semantic Classification Algorithms on SAR Images
dc.typeConference Object

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