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dc.contributor.authorAwrangjeb, Mohammad
dc.contributor.authorLu, Guojun
dc.contributor.editorDeSouza, P
dc.contributor.editorEngelke, U
dc.contributor.editorRahman, A
dc.date.accessioned2018-01-08T01:19:57Z
dc.date.available2018-01-08T01:19:57Z
dc.date.issued2013
dc.identifier.isbn9781479921263
dc.identifier.doi10.1109/DICTA.2013.6691490
dc.identifier.urihttp://hdl.handle.net/10072/99599
dc.description.abstractThis paper presents a new segmentation technique to use LIDAR point cloud data for automatic extraction of building roof planes. The raw LIDAR points are first classified into two major groups: ground and non-ground points. The ground points are used to generate a 'building mask' in which the black areas represent the ground where there are no laser returns below a certain height. The non-ground points are segmented to extract the planar roof segments. First, the building mask is divided into small grid cells. The cells containing the black pixels are clustered such that each cluster represents an individual building or tree. Second, the non-ground points within a cluster are segmented based on their coplanarity and neighbourhood relations. Third, the planar segments are refined using a rule-based procedure that assigns the common points among the planar segments to the appropriate segments. Finally, another rule-based procedure is applied to remove tree planes which are generally small in size and randomly oriented. Experimental results on three Australian sites have shown that the proposed method offers high building detection and roof plane extraction rates.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameInternational Conference on Digital Image Computing - Techniques and Applications (DICTA)
dc.relation.ispartofconferencetitle2013 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES & APPLICATIONS (DICTA)
dc.relation.ispartofdatefrom2013-11-26
dc.relation.ispartofdateto2013-11-28
dc.relation.ispartoflocationHobart, AUSTRALIA
dc.relation.ispartofpagefrom72
dc.relation.ispartofpageto79
dc.subject.fieldofresearchComputer vision
dc.subject.fieldofresearchImage processing
dc.subject.fieldofresearchPhotogrammetry and remote sensing
dc.subject.fieldofresearchcode460304
dc.subject.fieldofresearchcode460306
dc.subject.fieldofresearchcode401304
dc.titleBuilding Roof Plane Extraction from LIDAR Data
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2013 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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