Automated urban features classification and recognition from combined rgb/lidar data

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dc.contributor.advisorEl-Sheimy, Naser
dc.contributor.authorEid, Hassan Elsaid Elhifnawy
dc.date.accessioned2017-12-18T22:25:44Z
dc.date.available2017-12-18T22:25:44Z
dc.date.issued2011
dc.descriptionBibliography: p. 149-155en
dc.descriptionMany pages are in colour.en
dc.format.extentxxi, 173 leaves : ill. ; 30 cm.en
dc.identifier.citationEid, H. E. (2011). Automated urban features classification and recognition from combined rgb/lidar data (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://ucalgary.scholaris.ca. doi:10.11575/PRISM/4467
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/4467
dc.identifier.urihttp://hdl.handle.net/1880/105468
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleAutomated urban features classification and recognition from combined rgb/lidar data
dc.typedoctoral thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.thesis.accessionTheses Collection 58.002:Box 2005 627942855
ucalgary.thesis.notesUARC
ucalgary.thesis.uarcreleasey

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