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dc.contributor.authorAwrangjeb, M
dc.contributor.authorRavanbakhsh, M
dc.contributor.authorFraser, CS
dc.date.accessioned2020-03-04T05:13:46Z
dc.date.available2020-03-04T05:13:46Z
dc.date.issued2010
dc.identifier.isbn9780769542713
dc.identifier.doi10.1109/DICTA.2010.17
dc.identifier.urihttp://hdl.handle.net/10072/392087
dc.description.abstractAn automatic building detection technique using LIDAR data and multispectral imagery has been proposed. Two masks are obtained from the LIDAR data: a 'primary building mask' and a 'secondary building mask'. The primary building mask indicates the void areas where the laser does not reach below a certain height threshold. The secondary building mask indicates the filled areas, from where the laser reflects, above the same threshold. Line segments are extracted from around the void areas in the primary building mask. Line segments around trees are removed using the normalized difference vegetation index derived from the orthorectified multispectral images. The initial building positions are obtained based on the remaining line segments. The complete buildings are detected from their initial positions using the two masks and multispectral images in the YIQ colour system. It is experimentally shown that the proposed technique can successfully detect buildings, when assessed in terms of 15 indices including completeness, correctness and quality.
dc.publisherIEEE
dc.relation.ispartofconferencename2010 International Conference on Digital Image Computing: Techniques and Applications
dc.relation.ispartofconferencetitleDigital Image Computing: Technqiues and Applications (DICTA), Proceedings
dc.relation.ispartofdatefrom2010-12-01
dc.relation.ispartofdateto2010-12-03
dc.relation.ispartoflocationSydney, NSW, Australia
dc.relation.ispartofpagefrom45
dc.relation.ispartofpageto51
dc.subject.fieldofresearchComputer vision and multimedia computation
dc.subject.fieldofresearchGeomatic engineering
dc.subject.fieldofresearchcode4603
dc.subject.fieldofresearchcode4013
dc.titleAutomatic building detection using LIDAR data and multispectral imagery
dc.typeConference output
dcterms.bibliographicCitationAwrangjeb, M; Ravanbakhsh, M; Fraser, CS, Automatic building detection using LIDAR data and multispectral imagery, Digital Image Computing: Technqiues and Applications (DICTA), Proceedings, 2010, pp. 45-51
dc.date.updated2020-02-28T05:46:52Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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gro.griffith.authorAwrangjeb, Mohammad


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