Detection of compound structures using multiple hierarchical segmentations

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dc.citation.epage2065en_US
dc.citation.spage2062en_US
dc.contributor.authorAkçay, Hüseyin Gökhanen_US
dc.contributor.authorAksoy, Selimen_US
dc.coverage.spatialTrabzon, Turkeyen_US
dc.coverage.spatialTrabzon, Turkeyen_US
dc.date.accessioned2016-02-08T11:45:03Z
dc.date.available2016-02-08T11:45:03Z
dc.date.issued2014en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 23-25 April 2014en_US
dc.description.abstractIn this paper, we present a method for automatic compound structure detection in high-resolution images. Given a query compound structure, our aim is to detect coherent regions with similar spatial arrangement and characteristics in multiple hierarchical segmentations. A Markov random field is constructed by representing query regions as variables and connecting the vertices that are spatially close by edges. Then, a maximum entropy distribution is assumed over the query region process and selection of similar region processes among a set of region hierarchies is achieved by maximizing the query model. Experiments using WorldView-2 images show the efficiency of probabilistic modeling of compound structures. © 2014 IEEE.en_US
dc.identifier.doi10.1109/SIU.2014.6830666en_US
dc.identifier.urihttp://hdl.handle.net/11693/27119
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2014.6830666en_US
dc.source.title2014 22nd Signal Processing and Communications Applications Conference (SIU)en_US
dc.subjectMarkov processesen_US
dc.subjectSignal processingen_US
dc.subjectCompound structuresen_US
dc.subjectContext modelingen_US
dc.subjectHierarchical segmentationen_US
dc.subjectHigh resolution imageen_US
dc.subjectMarkov Random Fieldsen_US
dc.subjectMaximum entropy distributionen_US
dc.subjectProbabilistic modelingen_US
dc.subjectSpatial arrangementsen_US
dc.subjectQuery processingen_US
dc.titleDetection of compound structures using multiple hierarchical segmentationsen_US
dc.title.alternativeBileşik yapilarin Coklu siradüzensel bölütlemeler kullanilarak sezimien_US
dc.typeConference Paperen_US
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