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dc.contributor.authorSharif, Haidar
dc.contributor.authorUyaver, Şahin
dc.contributor.authorZerdo, Zaid
dc.date.accessioned2021-01-08T21:51:32Z
dc.date.available2021-01-08T21:51:32Z
dc.date.issued2018
dc.identifier.issn2303-4521
dc.identifier.urihttps://doi.org/10.21533/pen.v6i1.144
dc.identifier.urihttps://hdl.handle.net/20.500.12846/341
dc.description.abstractIt is a challenging task to classify and detect various geographical features from the satellite imagery of the Earth as well as the celestial bodies. This paper puts forward several pixel based classification algorithms to classify geographical features from the satellite images of the Earth. The recorded experimental results, from a total of 606 satellite images to classify miscellaneous geographical features, demonstrate that the maximum algorithmic performances can approximate to 87%. This paper also addresses a simple algorithm based on edge approximation and circular Hough transformation to detect craters from the satellite imagery of celestial bodies. An online available dataset to detect craters evaluates the performance of the algorithm. In general, all the proposed algorithms are straightforward but in many ways effective. © 2018, International University of Sarajevo.en_US
dc.language.isoengen_US
dc.publisherInternational University of Sarajevoen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassificationen_US
dc.subjectCratersen_US
dc.subjectDetectionen_US
dc.subjectSatellite imageryen_US
dc.titleClassification and detection of various geographical features from satellite imageryen_US
dc.typearticleen_US
dc.relation.journalPeriodicals of Engineering and Natural Sciencesen_US
dc.identifier.volume6en_US
dc.identifier.issue1en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.departmentTAÜ, Fen Fakültesi, Enerji Bilimi ve Teknolojileri Bölümüen_US
dc.contributor.institutionauthorUyaver, Şahin
dc.identifier.doi10.21533/pen.v6i1.144
dc.identifier.startpage84en_US
dc.identifier.endpage94en_US


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