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dc.contributor.authorAwrangjeb, Mohammad
dc.contributor.authorZhang, Chunsun
dc.contributor.authorFraser, Clive S
dc.date.accessioned2018-02-01T02:16:44Z
dc.date.available2018-02-01T02:16:44Z
dc.date.issued2012
dc.identifier.issn0099-1112
dc.identifier.urihttp://hdl.handle.net/10072/172519
dc.description.abstractEffective separation of buildings from trees is a major challenge in image-based automatic building detection. This paper presents a three-step method for effective separation of buildings from trees using aerial imagery and lidar data. First, 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 so-called normalized DSM. Second, image entropy and color 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. The improved building detection algorithm has been tested on different test areas and it is shown that the algorithm offers high building detection rate in complex scenes which are hilly and densely vegetated.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAmerican Society for Photogrammetry and Remote Sensing
dc.publisher.urihttps://www.asprs.org/pe-rs-past-issues/2012-pers-journals.html
dc.relation.ispartofpagefrom729
dc.relation.ispartofpageto745
dc.relation.ispartofissue7
dc.relation.ispartofjournalPhotogrammetric Engineering and Remote Sensing
dc.relation.ispartofvolume78
dc.subject.fieldofresearchComputer vision
dc.subject.fieldofresearchImage processing
dc.subject.fieldofresearchGeomatic engineering
dc.subject.fieldofresearchPhotogrammetry and remote sensing
dc.subject.fieldofresearchcode460304
dc.subject.fieldofresearchcode460306
dc.subject.fieldofresearchcode4013
dc.subject.fieldofresearchcode401304
dc.titleBuilding detection in complex scenes thorough effective separation of buildings from trees
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2012 ASPRS. Reprinted with permission from the American Society for Photogrammetry & Remote Sensing, Bethesda, Maryland, www.asprs.org. Please refer to the journal's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorAwrangjeb, Mohammad


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