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Proceedings Paper

Identification of cloudiness by nonparametric pattern recognition algorithm from AVHRR data
Author(s): Tatyana Y. Pushkareva; Konstantin T. Protasov
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Paper Abstract

Within the framework of resource-ecological monitoring of the Earth's surface, the problem of recognition of cloud types from NOAA AVHRR data is considered. Based on the statistical approach, a nonparametric algorithm is developed for recognition of stochastic fields, as well as the procedure for estimation of informative indicators from the condition of minimum estimated recognition error. The conditional probability models of recognized images are reconstructed from learning samples selected by an experienced operator. Classification of the types of cloud fields is exemplified by the NOAA satellite data.

Paper Details

Date Published: 28 February 2002
PDF: 7 pages
Proc. SPIE 4678, Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, (28 February 2002); doi: 10.1117/12.458447
Show Author Affiliations
Tatyana Y. Pushkareva, Institute of Atmospheric Optics (Russia)
Konstantin T. Protasov, Institute of Atmospheric Optics (Russia)

Published in SPIE Proceedings Vol. 4678:
Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gelii A. Zherebtsov; Gennadii G. Matvienko; Viktor A. Banakh; Vladimir V. Koshelev, Editor(s)

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