Classification and detection of various geographical features from satellite imagery

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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.departmentTAÜ, Fen Fakültesi, Enerji Bilimi ve Teknolojileri Bölümüen_US
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.
dc.identifier.doi10.21533/pen.v6i1.144
dc.identifier.endpage94en_US
dc.identifier.issn2303-4521
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85049648734
dc.identifier.scopusqualityQ2
dc.identifier.startpage84en_US
dc.identifier.urihttps://doi.org/10.21533/pen.v6i1.144
dc.identifier.urihttps://hdl.handle.net/20.500.12846/341
dc.identifier.volume6en_US
dc.indekslendigikaynakScopus
dc.institutionauthorUyaver, Şahin
dc.language.isoen
dc.publisherInternational University of Sarajevo
dc.relation.ispartofPeriodicals of Engineering and Natural Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectClassificationen_US
dc.subjectCratersen_US
dc.subjectDetectionen_US
dc.subjectSatellite imageryen_US
dc.titleClassification and detection of various geographical features from satellite imagery
dc.typeArticle

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