Modeling urban structures using graph-based spatial patterns

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dc.citation.epage4829en_US
dc.citation.spage4826en_US
dc.contributor.authorDoǧrusöz, Emelen_US
dc.contributor.authorAksoy, Selimen_US
dc.coverage.spatialBarcelona, Spain
dc.date.accessioned2016-02-08T11:41:49Z
dc.date.available2016-02-08T11:41:49Z
dc.date.issued2007-07en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 23-28 July 2007
dc.descriptionConference name: IEEE International Geoscience and Remote Sensing Symposium, 2007
dc.description.abstractWe introduce a new method for modeling the spatial arrangements of geospatial objects. As opposed to the existing approaches that are based on classifying images using pixel level methods, we propose to use objects as textural primitives and exploit their spatial patterns. First, the primitives are detected using spectral and morphological processing. Then, these primitives form the nodes of a graph where the neighborhood information is obtained through Voronoi tessellation of the image scene. Next, this graph is clustered by thresholding its minimum spanning tree. Finally, the resulting clusters are classified as regular or irregular by examining the distributions of the angles between neighboring nodes. Experiments using Ikonos images show that the application of the proposed model where buildings are used as the primitives and building groups are automatically classified as organized or unorganized can extract valuable information about urban development. © 2007 IEEE.en_US
dc.identifier.doi10.1109/IGARSS.2007.4423941en_US
dc.identifier.urihttp://hdl.handle.net/11693/27009
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/IGARSS.2007.4423941en_US
dc.source.titleInternational Geoscience and Remote Sensing Symposium (IGARSS), 2007en_US
dc.subjectGeospatial objectsen_US
dc.subjectSpatial patternsen_US
dc.subjectUrban developmenten_US
dc.subjectUrban structuresen_US
dc.subjectComputer graphicsen_US
dc.subjectComputer simulationen_US
dc.subjectImage processingen_US
dc.subjectPattern recognitionen_US
dc.titleModeling urban structures using graph-based spatial patternsen_US
dc.typeConference Paperen_US

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