A comparative analysis of image fusion methods

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dc.authorscopusid55293615200
dc.authorscopusid24072039600
dc.authorscopusid24480743500
dc.authorscopusid36130374500
dc.contributor.authorKösesoy I.
dc.contributor.authorTepecik A.
dc.contributor.authorÇetin M.
dc.contributor.authorMesut A.
dc.date.accessioned2024-06-12T10:25:24Z
dc.date.available2024-06-12T10:25:24Z
dc.date.issued2012
dc.description2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786en_US
dc.description.abstractIn literature, several methods are available to combine both low spatial multispectral and low spectral panchromatic resolution images to obtain a high resolution multispectral image. One of the most common problems encountered in these methods is spectral distortions introduced during the merging process. At the same time, the spectral quality of the image is the most important factor affecting the accuracy of the results in many applications such as object recognition, object extraction, image analysis. In this study, the most commonly used methods including GIHS, GIHSF, PCA and Wavelet are analyzed using image quality metrics such as SSIM, ERGAS and SAM. At the same time, Wavelet is the best method for obtaining the fused image having the least spectral distortions according to obtained results. At the same time, image quality of GIHS, GIHSF and PCA methods are close to each other, but spatial qualities of the fused image using the wavelet method are less than others. © 2012 IEEE.en_US
dc.identifier.doi10.1109/SIU.2012.6204511
dc.identifier.isbn9.78147E+12
dc.identifier.scopus2-s2.0-84863451246en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204511
dc.identifier.urihttps://hdl.handle.net/20.500.14551/16329
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCommon Problems; Comparative Analysis; Fused Images; High Resolution; Image Fusion Methods; Image Quality Metrics; Merging Process; Multi-Spectral; Multispectral Images; Object Extraction; Pca Method; Resolution Images; Spatial Quality; Spectral Distortions; Spectral Quality; Wavelet Methods; Image Analysis; Image Fusion; Image Quality; Object Recognition; Signal Processing; Feature Extractionen_US
dc.titleA comparative analysis of image fusion methodsen_US
dc.title.alternativeGörüntü bi?rleşti?rme yöntemleri? ni?n karşilaştirmali anali?zi?en_US
dc.typeConference Objecten_US

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