Share Email Print
cover

Proceedings Paper

Density based clustering algorithm based on satellite cloud sensing
Author(s): I. A. Krivtsov; V. T. Kalayda
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 25 November 2014
PDF: 4 pages
Proc. SPIE 9292, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 929233 (25 November 2014); doi: 10.1117/12.2075556
Show Author Affiliations
I. A. Krivtsov, V.E. Zuev Institute of Atmospheric Optics (Russian Federation)
V. T. Kalayda, National Research Tomsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9292:
20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Oleg A. Romanovskii, Editor(s)

© SPIE. Terms of Use
Back to Top