Analysis of photogrammetrically-derived digital surface and terrain models for building recognition

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dc.contributor.advisorMason, Scotten_ZA
dc.contributor.authorMtshatsha, Bandileen_ZA
dc.date.accessioned2014-11-10T08:43:07Z
dc.date.available2014-11-10T08:43:07Z
dc.date.issued1997en_ZA
dc.descriptionBibliography: leaves 79-83.en_ZA
dc.description.abstractBuildings are one of the most frequently occurring man-made objects and in urban scenes their detection and reconstruction, e.g., in the form of three-dimensional CAD (computer aided design) models, is very important to many users such as architects, town planners and telecommunications and environmental engineers. This thesis examines the role of digital terrain and surface models in supporting this reconstruction process. The thesis is structured into four main parts, namely, image matching to derive the data sets, building detection to delineate buildings from other man-made objects in DSM (digital surface model), DSM quality analysis to determine the reliability of the data, hydrological analysis to determine flood zones as an additional example of DTM application and finally conclusions and possible future outlook. Image matching was performed using an in-house image matching software in the Geomatics department. Off-the-shelf GIS functionality was used to tackle building detection, DSM quality analysis and hydrological analysis. A key feature of GIS functionality is the ability to exploit standard functions for the input/output, management, spatial analysis, editing and visualisation. It also aims at enhancing the accessibility of developed tools to end users.en_ZA
dc.identifier.apacitationMtshatsha, B. (1997). <i>Analysis of photogrammetrically-derived digital surface and terrain models for building recognition</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics. Retrieved from http://hdl.handle.net/11427/9466en_ZA
dc.identifier.chicagocitationMtshatsha, Bandile. <i>"Analysis of photogrammetrically-derived digital surface and terrain models for building recognition."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics, 1997. http://hdl.handle.net/11427/9466en_ZA
dc.identifier.citationMtshatsha, B. 1997. Analysis of photogrammetrically-derived digital surface and terrain models for building recognition. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mtshatsha, Bandile AB - Buildings are one of the most frequently occurring man-made objects and in urban scenes their detection and reconstruction, e.g., in the form of three-dimensional CAD (computer aided design) models, is very important to many users such as architects, town planners and telecommunications and environmental engineers. This thesis examines the role of digital terrain and surface models in supporting this reconstruction process. The thesis is structured into four main parts, namely, image matching to derive the data sets, building detection to delineate buildings from other man-made objects in DSM (digital surface model), DSM quality analysis to determine the reliability of the data, hydrological analysis to determine flood zones as an additional example of DTM application and finally conclusions and possible future outlook. Image matching was performed using an in-house image matching software in the Geomatics department. Off-the-shelf GIS functionality was used to tackle building detection, DSM quality analysis and hydrological analysis. A key feature of GIS functionality is the ability to exploit standard functions for the input/output, management, spatial analysis, editing and visualisation. It also aims at enhancing the accessibility of developed tools to end users. DA - 1997 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1997 T1 - Analysis of photogrammetrically-derived digital surface and terrain models for building recognition TI - Analysis of photogrammetrically-derived digital surface and terrain models for building recognition UR - http://hdl.handle.net/11427/9466 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9466
dc.identifier.vancouvercitationMtshatsha B. Analysis of photogrammetrically-derived digital surface and terrain models for building recognition. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics, 1997 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9466en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Geomaticsen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.titleAnalysis of photogrammetrically-derived digital surface and terrain models for building recognitionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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