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QUALITY ASSESSMENT of PANSHARPENED RASAT and LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE

BildiriAçık Erişim

Özet

Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral images are widely used in GIS applications. In this study, it is aimed to increase the spatial resolution of the RASAT and Landsat-8 multispectral satellite images with synthetic Sentinel-2 panchromatic data. Six different pansharpening methods were used to test the success of the synthetic panchromatic data generation method using dataset with two different land use/land cover properties. Seven full reference image quality assessment metrics and two referenceless image quality assessment metrics were used to perform quantitative comparison.

Anahtar Kelimeler

BRISQUE.Landsat-8NIQEPansharpeningRASATSentinel-2
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/14840Resmi atıflarda kullanılan kalıcı adres
Tam Kayıt
AlanDeğerDil
dc.contributor.authorGunen, M.A.
dc.contributor.editorKaras, I.R.
dc.contributor.editorBen Ahmed, M.
dc.contributor.editorBoudhir, A.A.
dc.contributor.editorAne, B.K.
dc.date.accessioned2026-10-22T10:23:12.971858009Z
dc.date.available2026-10-22T10:23:12.971858009Z
dc.date.issued2021
dc.description.abstractTechnical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral images are widely used in GIS applications. In this study, it is aimed to increase the spatial resolution of the RASAT and Landsat-8 multispectral satellite images with synthetic Sentinel-2 panchromatic data. Six different pansharpening methods were used to test the success of the synthetic panchromatic data generation method using dataset with two different land use/land cover properties. Seven full reference image quality assessment metrics and two referenceless image quality assessment metrics were used to perform quantitative comparison.
dc.identifier.doi10.5194/isprs-archives-xlvi-4-w5-2021-231-2021
dc.identifier.endpage234
dc.identifier.issn1682-1750
dc.identifier.issue4/W5-2021
dc.identifier.scopus2-s2.0-85122277627
dc.identifier.startpage231
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14840
dc.identifier.volume46
dc.language.isoen
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.relation.conference6th International Conference on Smart City Applications
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBRISQUE.
dc.subjectLandsat-8
dc.subjectNIQE
dc.subjectPansharpening
dc.subjectRASAT
dc.subjectSentinel-2
dc.subject.otherImage quality
dc.subject.otherLand use
dc.subject.otherSpectroscopy
dc.subject.otherStatistical tests
dc.subject.otherBRISQUE.
dc.subject.otherHigh spatial resolution
dc.subject.otherImage quality assessment
dc.subject.otherLANDSAT
dc.subject.otherLandsat-8
dc.subject.otherNIQE
dc.subject.otherPan-sharpening
dc.subject.otherPanchromatic data
dc.subject.otherRASAT
dc.subject.otherSentinel-2
dc.subject.otherImage resolution
dc.titleQUALITY ASSESSMENT of PANSHARPENED RASAT and LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.openalex1
rdl.citation.scopus0
rdl.conference.date27 October 2021 through 29 October 2021
rdl.conference.placeSafranbolu
rdl.oa.statusgold
rdl.oa.urlhttps://doi.org/10.5194/isprs-archives-xlvi-4-w5-2021-231-2021
rdl.source.indexSCOPUS