Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/98422
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dc.contributor.authorPranckeviciene, Erinija-
dc.contributor.authorOstreika, Armantas-
dc.coverage.spatialAT-
dc.date.accessioned2019-05-30T00:31:26Z-
dc.date.available2019-05-30T00:31:26Z-
dc.date.issued2002-
dc.identifier.isbn3854031637-
dc.identifier.otherVDU02-000059047-
dc.identifier.urihttps://hdl.handle.net/20.500.12259/98422-
dc.description.abstractIn automated production of a digital map and the geodetic data from aerial photograph human operators perform several intermediate image-processing stages. The most complicated and less automated stage is an extraction of the boundaries of the visual objects - roads, urban areas, buildings, landmarks etc. A method of supervised recognition of definite image objects, which facilitates an automation of the extraction of the object's boundaries, is presented. [...]en
dc.description.sponsorshipKauno technologijos universitetas-
dc.format.extentp. 201-202-
dc.language.isoen-
dc.relation.ispartofEast-West-Vision : International Workshop and Project Festival : Computer Vision, Computer Graphics, New Media, Graz, September 12-13, 2002 : proceedings. Wien : Osterreichische Computer Gesellschaft, 2002-
dc.subject.classificationStraipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)-
dc.subject.otherInformatikos inžinerija / Informatics engineering (T007)-
dc.titleSupervised recognition of the definite visual objects in aerial photographsen
dc.typeresearch article-
dc.date.updated2021-08-10T13:59Z-
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local.typeP-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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