Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6216
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dc.contributor.authorSeyfioğlu, Mehmet Saygın-
dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.date.accessioned2021-09-11T15:35:20Z-
dc.date.available2021-09-11T15:35:20Z-
dc.date.issued2014en_US
dc.identifier.citationIEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing -- JUL 13-18, 2014 -- Quebec City, CANADAen_US
dc.identifier.isbn978-1-4799-5775-0-
dc.identifier.issn2153-6996-
dc.identifier.urihttps://doi.org/10.1109/IGARSS.2014.6947092-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6216-
dc.description.abstractA key factor degrading the performance of airborne radar is clutter. Many current clutter mitigation algorithms rely on statistical clutter models; however, such models fail to incorporate the time varying, site dependent nature of unwanted scattering. Hyperspectral imagery combined with lidar-derived elevation data offers a unique and comprehensive assessment of the radar clutter environment. Elevation data can be used to compute the range of scatters to the radar, while hyperspectral data processing can yield information on terrain features, which directly impacts electromagnetic backscattering. A simulated airborne clutter map is provided, and statistics compared to typical clutter distributions.en_US
dc.description.sponsorshipIEEE, Inst Elect & Elect Engineers, Geoscience & Remote Sensing Soc, Canadian Remote Sensing Socen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 IEEE International Geoscience And Remote Sensing Symposium (Igarss)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectradar clutter simulationen_US
dc.subjecthyperspectral image classificationen_US
dc.subjectdigital elevation modelen_US
dc.subjectlidaren_US
dc.titleAirborne Radar Clutter Simulation Using Hyperspectral and Lidar Imageryen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesIEEE International Symposium on Geoscience and Remote Sensing IGARSSen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.authorid0000-0001-7487-9087-
dc.identifier.wosWOS:000349688104056en_US
dc.identifier.scopus2-s2.0-84911366848en_US
dc.institutionauthorGürbüz, Sevgi Zübeyde-
dc.identifier.doi10.1109/IGARSS.2014.6947092-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensingen_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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