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Proceedings Paper

Meteorological data processing chain for cloud detection and characterization
Author(s): Eugenio Costamagna; Fabio Dell'Acqua; Paolo Gamba
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Paper Abstract

In this paper a robust processing chain for meteorological data handli11g is pmposed. The chain relies on a shape analysis technique, called modal matching, that is applied to the characterization and tracking of meteorological features from satellite images. Results show that a precise correspondence between point pairs in successit1e frames of a sequence can be achiet<ed, enabling to study the complex movements of meteorological structures in greater detail. Moreover, a technique to determine intermediate (not recorded) frames in a sequence is offered, useful for nowcasting and short-term. forecasting issues.

Paper Details

Date Published: 1 January 1997
PDF: 11 pages
Proc. SPIE 3220, Satellite Remote Sensing of Clouds and the Atmosphere II, (1 January 1997); doi: 10.1117/12.301173
Show Author Affiliations
Eugenio Costamagna, Univ. degli Studi di Pavia (Italy)
Fabio Dell'Acqua, Univ. degli Studi di Pavia (Italy)
Paolo Gamba, Univ. degli Studi di Pavia (Italy)

Published in SPIE Proceedings Vol. 3220:
Satellite Remote Sensing of Clouds and the Atmosphere II
Joanna D. Haigh, Editor(s)

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