Hierarchical cluster algorithm for remote sensing data of earth

  • Authors:

  • V. S. Sidorova

  • Affiliations:

  • Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia 630090

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2012

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Abstract

A new automatic, hierarchical, multidimensional, histogram-based clusterization algorithm is considered. A method for choosing the clusterization detailedness in different regions of the vector space of spectral features depending on the average separability of clusters is proposed. The algorithm is applied for the automatic classification of multispectral satellite data in recognizing the land cover.