Algorithm for clustering by means of assessment of local modes of a mixed distribution

N. V. Kolodnikova; Konstantin T. Protasov

doi:10.1117/12.497213

27 March 2003 Algorithm for clustering by means of assessment of local modes of a mixed distribution

N. V. Kolodnikova, Konstantin T. Protasov

Proceedings Volume 5026, Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part I: Radiation Propagation in the Atmosphere and Ocean; (2003) https://doi.org/10.1117/12.497213
Event: Ninth Joint International symposium on Atmospheric and Ocean Optics, 2002, Tomsk, Russian Federation

Abstract

In analysis of multispectral aerospace images of the Earth's surface and clouds with lacking a priori data, when an operator cannot select learning samples for pattern recognition, the only way for data structurization is the use of cluster analysis algorithms. A rather large number of versatile cluster analysis algorithms are developed by now, but particular data require an adaptive approach to analysis of particular images. We propose several cluster analysis algorithms that are mathematically justified with allowance for the specificity of analyzed NOAA AVHRR video data. Some examples of analysis of AVHRR images by the algorithms developed are presented.

Citation Download Citation

N. V. Kolodnikova and Konstantin T. Protasov "Algorithm for clustering by means of assessment of local modes of a mixed distribution", Proc. SPIE 5026, Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part I: Radiation Propagation in the Atmosphere and Ocean, (27 March 2003); https://doi.org/10.1117/12.497213

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