Fuzzy clusters with volume prototypes in the thematic processing of the Earth remote sensing data

The fuzzy clustering technology of the Earth remote sensing data, based on extended C-means and Gustafson-Kessel algorithms, is discussed. The algorithms extensions consist of clusters with volume prototypes construction and using of clusters similarity measure. The volume prototypes are less sensitive to a bias in the distribution of the data, and similar clusters are merged during clustering.