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dc.contributor.authorYılmaz, Volkan
dc.date.accessioned2020-10-05T08:02:21Z
dc.date.available2020-10-05T08:02:21Z
dc.date.issued2020en_US
dc.identifier.citationYılmaz, V. (2020). A Non‐Dominated Sorting Genetic Algorithm‐II‐based approach to optimize the spectral and spatial quality of component substitution‐based pansharpened images. Concurrency and Computation. Doi: 10.1002/cpe.6030.en_US
dc.identifier.urihttps://hdl.handle.net/11494/2279
dc.description.abstractPansharpening aims to fuse a lower-resolution multispectral (MS) image and a higher-resolution panchromatic image, resulting in an image with the color quality of the former and spatial detail quality of the latter. Of all, the component substitution (CS)-based pansharpening methods have drawn attentions with their ability to produce sharp images. Despite their success in sharpening the images, these methods deteriorate the color features of the input MS images due of the uncertainty in the calculation of the intensity component used by them. Previous studies showed that attempts to preserve the color features tend to cause spatial detail loss to a certain extent. This, of course, reveals the necessity of a compromise between the spectral and spatial fidelity of the pansharpened images produced by the CS-based techniques. This study proposed using the multi-objective Non-Dominated Sorting Genetic Algorithm-II metaheuristic algorithm with the CS-based methods to optimize the intensity component to find the best compromise between the spectral and spatial fidelity of the pansharpened images. The proposed framework was applied on two commonly used pansharpening techniques, Gram-Schmidt and Synthetic Variable Ratio. It was found that the proposed methods managed to find the best balance between the color and spatial fidelity.en_US
dc.language.isoengen_US
dc.publisherJohn Wiley and Sons Ltden_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGram-Schmidten_US
dc.subjectImagefusionen_US
dc.subjectMulti-objective metaheuristic optimizationen_US
dc.subjectNon-dominated sorting genetic algorithm-IIen_US
dc.subjectPansharpeningen_US
dc.subjectSynthetic variable ratioen_US
dc.titleA Non-Dominated Sorting Genetic Algorithm-II-based approach to optimize the spectral and spatial quality of component substitution-based pansharpened imagesen_US
dc.typearticleen_US
dc.relation.journalConcurrency Computationen_US
dc.departmentAÇÜ, Artvin Meslek Yüksekokuluen_US
dc.authorid0000-0003-0685-8369en_US
dc.identifier.volume33
dc.identifier.issue5
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1002/cpe.6030en_US
dc.contributor.institutionauthorYılmaz, Volkanen_US


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