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Article information
2008 , Volume 13, ¹ 2, p.53-69
Kovalevskaya N.M., Boenko K.A.
Content-based image retrieval for high-resolution satellite imagery data base
Recent technological advances have made it possible to process and store large amounts of image data. The most impressive example is the accumulation of image data in scientific applications such as satellite imagery. However, in order to realize their full potential, tools for efficient extraction of information and for intelligent search in image databases need to be developed. The paper describes a new approach to image data retrieval, which allows queries to be composed of textured patterns. The textured pattern is converted into a feature representation of reduced dimensionality, which can be used for searching similar-looking patterns in the database. This representation is obtained by texture sketch model based on Gibbs random field approach to describe satellite imagery. Experimental results are presented which illustrate that the proposed representation preserves the perceptual similarities, and provides a powerful tool for content-based satellite image retrieval.
[full text] Author(s):
Kovalevskaya NelleyM.
PhD. , Associate Professor
Position: Senior Research Scientist
Office: Institute for water and environmental problems SB RAS
Address: 665038, Russia, Barnaul, Molodezhnaya St.,1
Phone Office: (3852) 66 65 01
E-mail: knm@iwep.asu.ru
Boenko Konstantin Alexandrovic
Position: engineer
Office: Institute for water and environmental problems SB RAS
Address: Russia, Barnaul, Barnaul, Molodezhnaya St.,1
Phone Office: (3852) 66 65 01
E-mail: bka@iwep.asu.ru
Bibliography link:
Kovalevskaya N.M., Boenko K.A. Content-based image retrieval for high-resolution satellite imagery data base // Computational technologies. 2008. V. 13. ¹ 2. P. 53-69
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