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dc.contributor.authorAwrangjeb, M
dc.contributor.authorZhang, C
dc.contributor.authorFraser, CS
dc.contributor.editorM. Shortis, N. Paparoditis, C. Mallet
dc.date.accessioned2018-12-10T01:30:36Z
dc.date.available2018-12-10T01:30:36Z
dc.date.issued2012
dc.identifier.issn2194-9042
dc.identifier.doi10.5194/isprsannals-I-3-203-2012
dc.identifier.urihttp://hdl.handle.net/10072/99605
dc.description.abstractAutomatic 3D reconstruction of building roofs from remotely sensed data is important for many applications including city modeling. This paper proposes a new method for automatic 3D roof reconstruction through an effective integration of LIDAR data and multispectral imagery. Using the ground height from a DEM, the raw LIDAR points are separated into two groups. The first group contains the ground points that are exploited to constitute a 'ground mask'. The second group contains the non-ground points that are used to generate initial roof planes. The structural lines are extracted from the grey-scale version of the orthoimage and they are classified into several classes such as 'ground', 'tree', 'roof edge' and 'roof ridge' using the ground mask, the NDVI image (Normalised Difference Vegetation Index from the multi-band orthoimage) and the entropy image (from the grey-scale orthoimage). The lines from the later two classes are primarily used to fit initial planes to the neighbouring LIDAR points. Other image lines within the vicinity of an initial plane are selected to fit the boundary of the plane. Once the proper image lines are selected and others are discarded, the final plane is reconstructed using the selected lines. Experimental results show that the proposed method can handle irregular and large registration errors between the LIDAR data and orthoimagery.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
dc.publisher.placeGermany
dc.relation.ispartofconferencenameXXII ISPRS Congress, Technical Commission III (Volume I-3)
dc.relation.ispartofconferencetitleISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.ispartofdatefrom2012-08-25
dc.relation.ispartofdateto2012-09-01
dc.relation.ispartoflocationMelbourne, Australia
dc.relation.ispartofpagefrom203
dc.relation.ispartofpageto208
dc.relation.ispartofvolume1
dc.subject.fieldofresearchComputer vision
dc.subject.fieldofresearchImage processing
dc.subject.fieldofresearchPhotogrammetry and remote sensing
dc.subject.fieldofresearchcode460304
dc.subject.fieldofresearchcode460306
dc.subject.fieldofresearchcode401304
dc.titleAutomatic Reconstruction of Building Roofs through Effective Integration of LIDAR and Multispectral Imagery
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dcterms.licensehttps://creativecommons.org/licenses/by/3.0/
gro.rights.copyright© The Author(s) 2012. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorAwrangjeb, Mohammad


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