A spatial data model for remote sensing image retrieval

dc.contributor.authorAkçay, H. Gökhanen_US
dc.contributor.authorAksoy, Selimen_US
dc.coverage.spatialIEEEen_US
dc.coverage.spatialHaspolat, Turkeyen_US
dc.date.accessioned2016-02-08T12:07:49Z
dc.date.available2016-02-08T12:07:49Z
dc.date.issued2013en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 24-26 April 2013en_US
dc.description.abstractGiven a query region, our aim is to discover and retrieve regions with similar spatial arrangement and characteristics in other areas of the same large image or in other images. A Markov random field is constructed by representing 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 retrieval of the similar region processes on the target image is achieved according to their probability. Experiments using WorldView-2 images show that statistical modelling of compound structures enable high-level and large-scale retrieval applications. © 2013 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:07:49Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.1109/SIU.2013.6531469en_US
dc.identifier.urihttp://hdl.handle.net/11693/27995
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2013.6531469en_US
dc.source.title2013 21st Signal Processing and Communications Applications Conference, SIU 2013en_US
dc.subjectImage retrievalen_US
dc.subjectMarkov random fielden_US
dc.subjectSpatial arrangementsen_US
dc.subjectCompound structuresen_US
dc.subjectMarkov Random Fieldsen_US
dc.subjectMaximum entropy distributionen_US
dc.subjectRemote sensing image retrievalen_US
dc.subjectRetrieval applicationsen_US
dc.subjectSpatial arrangementsen_US
dc.subjectSpatial data modelen_US
dc.subjectStatistical modellingen_US
dc.subjectMarkov processesen_US
dc.subjectProbability distributionsen_US
dc.subjectSignal processingen_US
dc.subjectImage retrievalen_US
dc.titleA spatial data model for remote sensing image retrievalen_US
dc.title.alternativeUzaktan algilama görüntülerinde erişim için uzamsal bir veri modelien_US
dc.typeConference Paperen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
A spatial data model for remote sensing image retrieval [Uzaktan algilama görüntülerinde erişim için uzamsal bir veri modeli].pdf
Size:
13.86 MB
Format:
Adobe Portable Document Format
Description:
Full printable version