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Proceedings Paper

Preprocessing: A Key To The Distributed Processing Of Digital Meteorological Images
Author(s): Ted A. Barton; Eric W. Suomi; Joseph P. Rueden
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Paper Abstract

In recent years, the volume of data generated by meteorological sensing platforms has increased dramatically. Conventional approaches to processing these data streams lead to both rapid overload of system resources and staggering costs. A distributed processing approach can substantially reduce these costs while maintaining the data's accuracy and timeliness. SSEC's preprocessors for the GOES signal are used as examples to support this view.

Paper Details

Date Published: 25 January 1987
PDF: 8 pages
Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); doi: 10.1117/12.942668
Show Author Affiliations
Ted A. Barton, University of Wisconsin (United States)
Eric W. Suomi, University of Wisconsin (United States)
Joseph P. Rueden, University of Wisconsin (United States)

Published in SPIE Proceedings Vol. 0846:
Digital Image Processing and Visual Communications Technologies in Meteorology
Paul Janota, Editor(s)

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