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Proceedings Paper

Shape-based mechanisms for content-based retrieval of aurora images
Author(s): Chunguang Cao; Timothy S. Newman; Glynn Germany
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Paper Abstract

New image data mining mechanisms that enable content-based retrieval of images of interest from a large collection of satellite data of the Earth's aurorae are described. The mechanisms enable mining for wide aurorae, aurorae with large ovals, standard aurorae, and theta aurorae. Shape characteristics of these classes of aurorae are exploited by the mining mechanisms. Experimental results that benchmark the accuracy of the mechanisms are also presented.

Paper Details

Date Published: 12 October 2006
PDF: 12 pages
Proc. SPIE 6383, Wavelet Applications in Industrial Processing IV, 63830T (12 October 2006); doi: 10.1117/12.690258
Show Author Affiliations
Chunguang Cao, Univ. of Alabama in Huntsville (United States)
Timothy S. Newman, Univ. of Alabama in Huntsville (United States)
Glynn Germany, Univ. of Alabama in Huntsville (United States)


Published in SPIE Proceedings Vol. 6383:
Wavelet Applications in Industrial Processing IV
Frédéric Truchetet; Olivier Laligant, Editor(s)

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