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
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.
- Conference Paper 
Showing items related by title, author, creator and subject.
Scene classification for content-based image retrieval [İçerik tabanli görüntü erişimi i̇çin sahne siniflandirmasi] Çavuş Ö.; Aksoy, S. (2008)Content-based image indexing and retrieval have become important research problems with the use of large databases in a wide range of areas. In this study, a content-based image retrieval system that is based on scene ...
Yalniz I.Z.; Altingovde I.S.; Güdükbay, U.; Ulusoy Ö. (2009)This article presents Ottoman Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents. Several methods for character segmentation and ...
Vechtomova O.; Karamuftuoglu, M. (2006)The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the ...