dc.contributor.author | Awrangjeb, Mohammad | |
dc.contributor.author | Zhang, Chunsun | |
dc.contributor.author | Fraser, Clive S | |
dc.date.accessioned | 2018-02-01T02:16:44Z | |
dc.date.available | 2018-02-01T02:16:44Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 0099-1112 | |
dc.identifier.uri | http://hdl.handle.net/10072/172519 | |
dc.description.abstract | Effective 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.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | American Society for Photogrammetry and Remote Sensing | |
dc.publisher.uri | https://www.asprs.org/pe-rs-past-issues/2012-pers-journals.html | |
dc.relation.ispartofpagefrom | 729 | |
dc.relation.ispartofpageto | 745 | |
dc.relation.ispartofissue | 7 | |
dc.relation.ispartofjournal | Photogrammetric Engineering and Remote Sensing | |
dc.relation.ispartofvolume | 78 | |
dc.subject.fieldofresearch | Computer vision | |
dc.subject.fieldofresearch | Image processing | |
dc.subject.fieldofresearch | Geomatic engineering | |
dc.subject.fieldofresearch | Photogrammetry and remote sensing | |
dc.subject.fieldofresearchcode | 460304 | |
dc.subject.fieldofresearchcode | 460306 | |
dc.subject.fieldofresearchcode | 4013 | |
dc.subject.fieldofresearchcode | 401304 | |
dc.title | Building detection in complex scenes thorough effective separation of buildings from trees | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
dc.description.version | Version 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.hasfulltext | Full Text | |
gro.griffith.author | Awrangjeb, Mohammad | |