Data fusion in satellite images and their quantitative analysis

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dc.contributor.authorU?urlu, Bora
dc.contributor.authorYildirim, Hülya
dc.contributor.authorÖzel, M. Emin
dc.date.accessioned2025-01-27T18:52:57Z
dc.date.available2025-01-27T18:52:57Z
dc.date.issued2009
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009 -- 9 April 2009 through 11 April 2009 -- Antalya -- 77539
dc.description.abstractData fusion may be considered a kind of complex image processing method which combines the different satellite images to bring complementary and useful information into one single composite image. The fused image will usually have better spectral and spatial resolutions to see more detailed and sometimes new features not seen in the original images. In the present work, Landsat 7 ETM, 1999 dated satellite data which is belong to Canakkale Province is used. The multispectral satellite image that is rich spectrally and panchromatic(PAN) image that is rich spatially but poor spectrally are fused by using two different methods based on Intensity,Hue,Saturation (IHS) Transformation and Principal Component Analysis. Both of the methods are assessed by looking through the relationship between the vegetation indexes of final images and multispectral satellite image. ©2009 IEEE.
dc.identifier.doi10.1109/SIU.2009.5136408
dc.identifier.endpage368
dc.identifier.isbn978-142444436-6
dc.identifier.scopus2-s2.0-70350343538
dc.identifier.scopusqualityN/A
dc.identifier.startpage365
dc.identifier.urihttps://doi.org/10.1109/SIU.2009.5136408
dc.identifier.urihttps://hdl.handle.net/20.500.12428/12510
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectData fusion; Image processing; Information fusion; Processing; Satellites; Signal processing; Complex image; Fused images; LandSat 7; Multispectral satellite image; Original images; Quantitative analysis; Satellite data; Satellite images; Single composites; Spatial resolution; Vegetation index; Principal component analysis
dc.titleData fusion in satellite images and their quantitative analysis
dc.title.alternativeUydu görüntülerinde veri karilmasi ve nicel analizi
dc.typeConference Object

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