Identification of cloudiness by nonparametric pattern recognition algorithm from AVHRR data

Tatyana Y. Pushkareva; Konstantin T. Protasov

doi:10.1117/12.458447

28 February 2002 Identification of cloudiness by nonparametric pattern recognition algorithm from AVHRR data

Tatyana Y. Pushkareva, Konstantin T. Protasov

Author Affiliations +

Proceedings Volume 4678, Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; (2002) https://doi.org/10.1117/12.458447
Event: Eighth Joint International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2001, Irkutsk, Russian Federation

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.

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Tatyana Y. Pushkareva and Konstantin T. Protasov "Identification of cloudiness by nonparametric pattern recognition algorithm from AVHRR data", Proc. SPIE 4678, Eighth International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, (28 February 2002); https://doi.org/10.1117/12.458447

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