Recognition of cloud field types by nonparametric algorithm in textural-feature space on cosmic data

N. V. Kolodnikova; Konstantin T. Protasov

doi:10.1117/12.606300

15 December 2004 Recognition of cloud field types by nonparametric algorithm in textural-feature space on cosmic data

N. V. Kolodnikova, Konstantin T. Protasov

Proceedings Volume 5743, Eleventh International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics; (2004) https://doi.org/10.1117/12.606300
Event: Eleventh International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 2004, Tomsk, Russian Federation

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.

Citation Download Citation

N. V. Kolodnikova and Konstantin T. Protasov "Recognition of cloud field types by nonparametric algorithm in textural-feature space on cosmic data", Proc. SPIE 5743, Eleventh International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, (15 December 2004); https://doi.org/10.1117/12.606300

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