Density based clustering algorithm based on satellite cloud sensing

I. A. Krivtsov; V. T. Kalayda

doi:10.1117/12.2075556

25 November 2014 Density based clustering algorithm based on satellite cloud sensing

I. A. Krivtsov, V. T. Kalayda

Proceedings Volume 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 929233 (2014) https://doi.org/10.1117/12.2075556
Event: 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2014, Novosibirsk, Russian Federation

Abstract

The paper proposes a modified clustering algorithm cloud cover of the Earth based on the density data clustering algorithm in the presence of noise. A new approach to identification of textural features based on the evaluation of the information matrix adjacency gradation. To optimize the clustering algorithm used data structure R-trees. The results of the algorithm are given in this article.

Citation Download Citation

I. A. Krivtsov and V. T. Kalayda "Density based clustering algorithm based on satellite cloud sensing", Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 929233 (25 November 2014); https://doi.org/10.1117/12.2075556

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