Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7233
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dc.contributor.authorTeke, Mustafa-
dc.contributor.authorSeyfioğlu, Mehmet Saygın-
dc.contributor.authorAğçal, Arda-
dc.contributor.authorGürbüz, Sevgi Zübeyde-
dc.date.accessioned2021-09-11T15:56:03Z-
dc.date.available2021-09-11T15:56:03Z-
dc.date.issued2014en_US
dc.identifier.citation22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYen_US
dc.identifier.isbn978-1-4799-4874-1-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7233-
dc.description.abstractPansharpening is a pixel-level fusion technique for increasing the spatial resolution of low-resolution multi-spectral satellite imagery using high resolution panchromatic imagery. In this work, the performance of various pan sharpening algorithms in improving the 7.5 meter resolution of RASAT satellite imagery is compared Nine different pansharpening algorithms are tested on seven different RASAT images and evaluated using six different metrics. Our results show that the High Pass Filter yields the sharpest pansharpened image, while the Hyperspherical Color Space method provides the truest colors while preserving sharpness to a certain extenten_US
dc.description.sponsorshipIEEE, Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 22Nd Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRASATen_US
dc.subjectpansharpeningen_US
dc.subjectHCSen_US
dc.subjectHPFen_US
dc.titleOptimal Pansharpening of RASAT Satellite Imageryen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conferenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage1967en_US
dc.identifier.endpage1970en_US
dc.authorid0000-0001-7487-9087-
dc.authorid0000-0002-1636-1148-
dc.identifier.wosWOS:000356351400471en_US
dc.identifier.scopus2-s2.0-84903773205en_US
dc.institutionauthorGürbüz, Sevgi Zübeyde-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference22nd IEEE Signal Processing and Communications Applications Conference (SIU)en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1tr-
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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