Density based clustering algorithm based on satellite cloud sensing
I. A. Krivtsov, Vladimir T. Kalayda · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.