Feature evaluation for building facade images - an empirical study

Show simple item record

dc.identifier.uri http://dx.doi.org/10.15488/1096
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1120
dc.contributor.author Yang, Michael Ying
dc.contributor.author Foerstner, Wolfgang
dc.contributor.author Chai, Dengfeng
dc.contributor.editor Shortis, M.
dc.contributor.editor Paparoditis, N.
dc.contributor.editor Mallet, C.
dc.date.accessioned 2017-02-03T07:14:06Z
dc.date.available 2017-02-03T07:14:06Z
dc.date.issued 2012
dc.identifier.citation Yang, Michael Ying; Foerstner, Wolfgang; Chai, Dengfeng: Feature evaluation for building facade images - an empirical study. In: Shortis, M.; Paparoditis, N.; Mallet, C. (Eds.): XXII ISPRS Congress, Technical Commission III. Katlenburg-Lindau : Copernicus Publications, 2012 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 39-B3), S. 513-518. DOI: https://doi.org/10.5194/isprsarchives-XXXIX-B3-513-2012
dc.description.abstract The classification of building facade images is a challenging problem that receives a great deal of attention in the photogrammetry community. Image classification is critically dependent on the features. In this paper, we perform an empirical feature evaluation task for building facade images. Feature sets we choose are basic features, color features, histogram features, Peucker features, texture features, and SIFT features. We present an approach for region-wise labeling using an efficient randomized decision forest classifier and local features. We conduct our experiments with building facade image classification on the eTRIMS dataset, where our focus is the object classes building, car, door, pavement, road, sky, vegetation, and window. eng
dc.language.iso eng
dc.publisher Katlenburg-Lindau : Copernicus Publications
dc.relation.ispartof XXII ISPRS Congress, Technical Commission III
dc.relation.ispartofseries The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 39-B3
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Feature eng
dc.subject evaluation eng
dc.subject random decision forest eng
dc.subject facade image eng
dc.subject randomized trees eng
dc.subject segmentation eng
dc.subject recognition eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Feature evaluation for building facade images - an empirical study
dc.type bookPart
dc.type Text
dc.relation.essn 2194-9034
dc.relation.issn 1682-1750
dc.relation.doi https://doi.org/10.5194/isprsarchives-XXXIX-B3-513-2012
dc.bibliographicCitation.issue B3
dc.bibliographicCitation.volume 39
dc.bibliographicCitation.firstPage 513
dc.bibliographicCitation.lastPage 518
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s):

Show simple item record

 

Search the repository


Browse

My Account

Usage Statistics