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Proceedings Paper

Recognition of cloud field types by nonparametric algorithm in textural-feature space on cosmic data
Author(s): N. V. Kolodnikova; Konstantin T. Protasov
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Paper Abstract

The paper considers the problems of selecting the subset of informative textural features. The influence of the sliding window size on the result of textural analysis is discussed. A new nonparametric algorithm is proposed for textural analysis. This algorithm is tested as applied to the problem of separation of cloud fields and estimation of their parameters from the NOAA AVHRR data.

Paper Details

Date Published: 15 December 2004
PDF: 6 pages
Proc. SPIE 5743, Eleventh International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, (15 December 2004); doi: 10.1117/12.606300
Show Author Affiliations
N. V. Kolodnikova, Institute of Atmospheric Optics (Russia)
Konstantin T. Protasov, Institute of Atmospheric Optics (Russia)


Published in SPIE Proceedings Vol. 5743:
Eleventh International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics
Gennadii G. Matvienko; Vladimir P. Lukin, Editor(s)

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