Resource- and content-aware, scalable stitching framework for remote sensing images

Basit Öğe Kaydı
dc.authorid55516480700
dc.authorid56038733500
dc.authorid36975673200
dc.authorid6603628718
dc.contributor.authorEken S.
dc.contributor.authorMert Ü.
dc.contributor.authorKoşunalp S.
dc.contributor.authorSayar A.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:42:58Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:42:58Z
dc.date.issued2019
dc.departmentBayburt Üniversitesien_US
dc.description.abstractThis paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic images is time- and resource-consuming process. The work presented in this paper proposes a resource- and content-aware, scalable stitching technique. The main idea is based on measuring and assessing the available hardware resources of the machine, on which stitching process runs, and scaling the resolution of the images accordingly. Moreover, preprocessing is not needed, and the adjustment is performed dynamically at run time. The effectiveness of the proposed technique was assessed by partially registering overlapping satellite mosaic images of the island of Cyprus and Lake Van. The scalability tests are performed on varying numbers and sizes of the overlapping LandSat-8 satellite images. © 2019, Saudi Society for Geosciences.en_US
dc.identifier.doi10.1007/s12517-019-4388-y
dc.identifier.issn1866-7511
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85062782763en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1007/s12517-019-4388-y
dc.identifier.urihttps://hdl.handle.net/20.500.12403/312
dc.identifier.volume12
dc.identifier.wosWOS:000460684100003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlag
dc.relation.ispartofArabian Journal of Geosciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage registration
dc.subjectImage stitching
dc.subjectLandSat-8
dc.subjectObject extraction
dc.subjectPolygon
dc.subjectResolution scaling
dc.subjectImage registration
dc.subjectImage stitching
dc.subjectLandSat-8
dc.subjectObject extraction
dc.subjectPolygon
dc.subjectResolution scaling
dc.titleResource- and content-aware, scalable stitching framework for remote sensing imagesen_US
dc.typeArticleen_US

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