V. S. Sidorova

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The proposed histogram-based algorithm searches for the clustering detailedness that differs in subdomains of the vector space of spectral features depending on the average separability of clusters. The objective of the hierarchical decomposition of clusters is to achieve limit detailedness with respect to the given cluster separability. Application of the(More)
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(More)
Automatic clusterization and follow segmentation of aerial pictures images by textural features is are considered. A divisible histogram hierarchical algorithm with search of clusters with preset separability is used. The peculiarity of segmentation by statistical textural features are taken into account. The parameters of the model for SAR imaging are used(More)
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