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Proceedings Paper

Algorithm for clustering by means of assessment of local modes of a mixed distribution
Author(s): N. V. Kolodnikova; Konstantin T. Protasov
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Paper 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.

Paper Details

Date Published: 27 March 2003
PDF: 7 pages
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); doi: 10.1117/12.497213
Show Author Affiliations
N. V. Kolodnikova, Tomsk State Univ. (Russia)
Konstantin T. Protasov, Institute of Atmospheric Optics (Russia)


Published in SPIE Proceedings Vol. 5026:
Ninth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part I: Radiation Propagation in the Atmosphere and Ocean
Gennadii G. Matvienko; Vladimir P. Lukin, Editor(s)

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