Paper
1 January 1997 Meteorological data processing chain for cloud detection and characterization
Eugenio Costamagna, Fabio Dell'Acqua, Paolo Gamba
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eugenio Costamagna, Fabio Dell'Acqua, and Paolo Gamba "Meteorological data processing chain for cloud detection and characterization", Proc. SPIE 3220, Satellite Remote Sensing of Clouds and the Atmosphere II, (1 January 1997); https://doi.org/10.1117/12.301173
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Clouds

Data processing

Environmental sensing

RELATED CONTENT

Immersive college English teaching design based on big data
Proceedings of SPIE (September 28 2022)
NPOESS Direct Readout Mission
Proceedings of SPIE (October 14 2004)
An end to end system in support of a broad...
Proceedings of SPIE (August 29 2005)
NPOESS Direct Readout Mission
Proceedings of SPIE (August 29 2005)
The NPOESS direct readout mission for societal benefit ...
Proceedings of SPIE (December 19 2008)

Back to Top