A theoretical and practical survey of image fusion methods for multispectral pansharpening

Basit Öğe Kaydı
dc.authorid0000-0003-0685-8369en_US
dc.contributor.authorŞerifoğlu Yılmaz, Çiğdem
dc.contributor.authorYılmaz, Volkan
dc.contributor.authorGüngör, Özgür
dc.date.accessioned2021-12-01T12:35:50Z
dc.date.available2021-12-01T12:35:50Z
dc.date.issued2022
dc.departmentAÇÜ, Artvin Meslek Yüksekokulu, Harita ve Kadastro Bölümüen_US
dc.description.abstractPansharpening fuses the spatial features of a high-resolution panchromatic (PAN) image with the spectral features of a lower-resolution multispectral (MS) image to generate a spatially enriched MS image. Numerous pansharpening strategies have been developed for more than three decades, which forces the analysts who intend to apply pansharpening to choose from various pansharpening techniques. Hence, this study aims to investigate the performances of many conventional and state-of-the-art pansharpening techniques in order to guide the analysts in this regard. To this aim, the spectral and spatial structure fidelity of the pansharpened images produced from a total of 47 pansharpening methods were evaluated qualitatively and quantitatively. The methods examined were from six pansharpening methods categories, including Multiresolution Analysis (MRA)-based, Component Substitution (CS)-based, Colour-Based (CB), Deep Learning (DL)-based, Variational Optimization (VO)-based and hybrid techniques. The methods in the MRA, DL, CB and VO category were found to exhibit the best pansharpening performances; whereas the hybrid and CS-based techniques showed the poorest performances. We believe that the outcomes of this study will guide the analysts who are in the need to apply pansharpening for their applications.
dc.identifier.citationYılmaz, C. S., Yılmaz, V., & Güngör, Ö. (2022). A theoretical and practical survey of image fusion methods for multispectral pansharpening. Information Fusion, 79, 1-43.en_US
dc.identifier.doi10.1016/j.inffus.2021.10.001
dc.identifier.endpage43en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/11494/3572
dc.identifier.volume79en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYılmaz, Volkan
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofInformation Fusion
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPansharpeningen_US
dc.subjectImage fusionen_US
dc.subjectSparse representationen_US
dc.subjectDeep learningen_US
dc.subjectMultiresolution analysisen_US
dc.subjectImage processingen_US
dc.titleA theoretical and practical survey of image fusion methods for multispectral pansharpeningen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
cigdem_serifoglu_yilmaz.pdf
Boyut:
97.96 MB
Biçim:
Adobe Portable Document Format
Açıklama:
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Artvin MYO Koleksiyonu Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu