A spatial data model for remote sensing image retrieval [Uzaktan algilama görüntülerinde erişim için uzamsal bir veri modeli]
Gökhan Akçay H.
2013 21st Signal Processing and Communications Applications Conference, SIU 2013
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27995
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.
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