Preprocessing: A Key To The Distributed Processing Of Digital Meteorological Images

Ted A. Barton; Eric W. Suomi; Joseph P. Rueden

doi:10.1117/12.942668

25 January 1987 Preprocessing: A Key To The Distributed Processing Of Digital Meteorological Images

Ted A. Barton, Eric W. Suomi, Joseph P. Rueden

Proceedings Volume 0846, Digital Image Processing and Visual Communications Technologies in Meteorology; (1987) https://doi.org/10.1117/12.942668
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

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.

Citation Download Citation

Ted A. Barton, Eric W. Suomi, and Joseph P. Rueden "Preprocessing: A Key To The Distributed Processing Of Digital Meteorological Images", Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); https://doi.org/10.1117/12.942668

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