Paper
12 October 2006 Shape-based mechanisms for content-based retrieval of aurora images
Author Affiliations +
Proceedings Volume 6383, Wavelet Applications in Industrial Processing IV; 63830T (2006) https://doi.org/10.1117/12.690258
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunguang Cao, Timothy S. Newman, and Glynn Germany "Shape-based mechanisms for content-based retrieval of aurora images", Proc. SPIE 6383, Wavelet Applications in Industrial Processing IV, 63830T (12 October 2006); https://doi.org/10.1117/12.690258
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Auroras

Image retrieval

Mining

Airglow

Feature extraction

Image segmentation

Satellites

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