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DC poleHodnotaJazyk
dc.contributor.authorPraschl, Christoph
dc.contributor.authorStradner, Michael
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-09-02T10:22:52Z
dc.date.available2022-09-02T10:22:52Z
dc.date.issued2022
dc.identifier.citationWSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 296-301.en
dc.identifier.isbn978-80-86943-33-6
dc.identifier.issn2464-4617
dc.identifier.urihttp://hdl.handle.net/11025/49608
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectletecké snímkovánícs
dc.subjectreverzní geokódovánícs
dc.subjectbudovycs
dc.subjectsegmantacecs
dc.titleTowards an Automated System for Reverse Geocoding of Aerial Photographsen
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedAerial photographs of buildings are often used as memorabilia sold by trading companies. Such photographs come with an issue regarding the address of the shown buildings, since the recording location of the camera may be known, but shows a spatial distance to the actual subject of the image. In addition to that, also this recording location is often not known in detail but only roughly in the form of the flight route/area. To address this problem, a methodology for reverse geocoding is proposed, allowing to identify the position of buildings that are photographed from aerial vehicles. This is done using a process for extending recording locations and a second process based on the registration of invariant features within aerial shots compared to maps.en
dc.subject.translatedaerial photographyen
dc.subject.translatedreverse geocodingen
dc.subject.translatedbuildingen
dc.subject.translatedsegmentationen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3201.37
dc.type.statusPeer-revieweden
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