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dc.contributor.advisorBianchi, Filippo Maria
dc.contributor.advisorOveland, Ivar
dc.contributor.authorFoss, Sigbjørn Valde
dc.date.accessioned2024-08-07T05:42:14Z
dc.date.available2024-08-07T05:42:14Z
dc.date.issued2024-06-01en
dc.description.abstractThis thesis explores a method for automatically extracting three-dimensional, geolocated building roof structure representations from non-orthorectified aerial photos, with a view to automate time intensive tasks that are currently handled manually. A two stage framework for 3D roof structure inference from aerial photos is proposed. A transformer-based deep learning framework is used to extract the roof structure of buildings from non-orthorectified aerial photos, and a multi-view triangulation method is used to transform the extracted planar graphs to a 3D representation of the building roof without the use of a digital surface model. Additionally, a preprocessing method for producing training data for the roof structure extraction model using aerial images and existing 3D building graph representations from a national database is developed. The proposed framework is shown to successfully infer building roof structure graphs, achieving an F1-score of 0.77 on the test set, and a set of inferred graphs are successfully transformed to 3D with a mean average corner reconstruction error of 0.43 meters. The results are promising, and automatic extraction and 3D reconstruction is viable, but the process requires further development.en_US
dc.identifier.urihttps://hdl.handle.net/10037/34204
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universitetno
dc.publisherUiT The Arctic University of Norwayen
dc.rights.holderCopyright 2024 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDSTA-3941
dc.subjectComputer Visionen_US
dc.subjectHEATen_US
dc.subjectAutomatic building registrationen_US
dc.subjectbuilding 3D reconstructionen_US
dc.titleAutomatic Building Structure Extraction from Aerial Photographs using Transformersen_US
dc.typeMastergradsoppgavenor
dc.typeMaster thesiseng


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)