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Proceedings Paper

System for indexing multispectral satellite images for efficient content-based retrieval
Author(s): Julio E. Barros; James C. French; Worthy N. Martin; Patrick M. Kelly
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Paper Abstract

Current feature-based image databases can typically perform efficient and effective searches on scalar feature information. However, many important features, such as graphs, histograms, and probability density functions, have more complex structure. Mechanisms to manipulate complex feature data are not currently well understood and must be further developed. The work we discuss in this paper explores techniques for the exploitation of spectral distribution information in a feature-based image database. A six band image was segmented into regions and spectral information for each region was maintained. A similarity measure for the spectral information is proposed and experiments are conducted to test its effectiveness. The objective of our current work is to determine if these techniques are effective and efficient at managing this type of image feature data.

Paper Details

Date Published: 23 March 1995
PDF: 10 pages
Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); doi: 10.1117/12.205288
Show Author Affiliations
Julio E. Barros, Univ. of Virginia (United States)
James C. French, Univ. of Virginia (United States)
Worthy N. Martin, Univ. of Virginia (United States)
Patrick M. Kelly, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 2420:
Storage and Retrieval for Image and Video Databases III
Wayne Niblack; Ramesh C. Jain, Editor(s)

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