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dc.contributor.authorAwrangjeb, Mohammad
dc.contributor.authorZhang, Chunsun
dc.contributor.authorFraser, Clive S
dc.date.accessioned2018-01-08T00:54:41Z
dc.date.available2018-01-08T00:54:41Z
dc.date.issued2012
dc.identifier.isbn9780769547299
dc.identifier.issn2330-7927
dc.identifier.doi10.1109/ICMEW.2012.96
dc.identifier.urihttp://hdl.handle.net/10072/99606
dc.description.abstractThe success of automatic building detection techniques lies in the effective separation of buildings from trees. This paper presents an improved automatic building detection technique that achieves more effective separation of buildings from trees. Firstly, it uses cues such as height to remove objects of low height such as bushes, and width to exclude trees with small horizontal coverage. The height threshold is also used to generate a ground mask where buildings are found to be more separable than in a so-called normalized DSM (digital surface model). Secondly, image entropy and colour information are jointly applied to remove easily distinguishable trees. Finally, an innovative rule-based procedure is employed using the edge orientation histogram from the imagery to eliminate false positive candidates. While tested on a number of scenes from four different test areas, the improved algorithm performed well even in complex scenes which are hilly and densely vegetated.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameIEEE International Conference on Multimedia and Expo Workshops (ICMEW)
dc.relation.ispartofconferencetitle2012 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW)
dc.relation.ispartofdatefrom2012-07-09
dc.relation.ispartofdateto2012-07-13
dc.relation.ispartoflocationMelbourne, AUSTRALIA
dc.relation.ispartofpagefrom516
dc.relation.ispartofpageto521
dc.subject.fieldofresearchImage Processing
dc.subject.fieldofresearchComputer Vision
dc.subject.fieldofresearchPhotogrammetry and Remote Sensing
dc.subject.fieldofresearchcode080106
dc.subject.fieldofresearchcode080104
dc.subject.fieldofresearchcode090905
dc.titleAn Improved Building Detection Technique for Complex Scenes
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionPost-print
gro.rights.copyright© 2012 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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    Contains papers delivered by Griffith authors at national and international conferences.

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