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https://hdl.handle.net/20.500.11851/6216
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seyfioğlu, Mehmet Saygın | - |
dc.contributor.author | Gürbüz, Sevgi Zübeyde | - |
dc.date.accessioned | 2021-09-11T15:35:20Z | - |
dc.date.available | 2021-09-11T15:35:20Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing -- JUL 13-18, 2014 -- Quebec City, CANADA | en_US |
dc.identifier.isbn | 978-1-4799-5775-0 | - |
dc.identifier.issn | 2153-6996 | - |
dc.identifier.uri | https://doi.org/10.1109/IGARSS.2014.6947092 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6216 | - |
dc.description.abstract | A 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.sponsorship | IEEE, Inst Elect & Elect Engineers, Geoscience & Remote Sensing Soc, Canadian Remote Sensing Soc | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2014 IEEE International Geoscience And Remote Sensing Symposium (Igarss) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | radar clutter simulation | en_US |
dc.subject | hyperspectral image classification | en_US |
dc.subject | digital elevation model | en_US |
dc.subject | lidar | en_US |
dc.title | Airborne Radar Clutter Simulation Using Hyperspectral and Lidar Imagery | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | IEEE International Symposium on Geoscience and Remote Sensing IGARSS | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.authorid | 0000-0001-7487-9087 | - |
dc.identifier.wos | WOS:000349688104056 | en_US |
dc.identifier.scopus | 2-s2.0-84911366848 | en_US |
dc.institutionauthor | Gürbüz, Sevgi Zübeyde | - |
dc.identifier.doi | 10.1109/IGARSS.2014.6947092 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
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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