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      • Department of Computer Engineering
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      A spatial data model for remote sensing image retrieval

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      Author
      Akçay, H. Gökhan
      Aksoy, Selim
      Date
      2013
      Source Title
      2013 21st Signal Processing and Communications Applications Conference, SIU 2013
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      Given 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.
      Keywords
      Image retrieval
      Markov random field
      Spatial arrangements
      Compound structures
      Markov Random Fields
      Maximum entropy distribution
      Remote sensing image retrieval
      Retrieval applications
      Spatial arrangements
      Spatial data model
      Statistical modelling
      Markov processes
      Probability distributions
      Signal processing
      Image retrieval
      Permalink
      http://hdl.handle.net/11693/27995
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2013.6531469
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      • Department of Computer Engineering 1368
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