Pattern recognition in satellite monitoring of water and ice surfaces

Authors:
A. A. Buchnev;V. P. Pyatkin
Affiliations:
Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia 630090;Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia 630090
Venue:
Pattern Recognition and Image Analysis
Year:
2012

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Abstract

A system for classifying satellite data for solving problems of space monitoring of hydrological objects is described. The system involves automatic classification and classification with training algorithms.