CLASSIFICATION OF THE HYPERSPECTRAL DATA OF THE EARTH REMOTE SENSING
Aleksey Aleksandrovich Buchnev, Valeriy Pavlovich Pyatkin
Abstract
The system of classification of hyperspectral data of the Earth remote sensing is discussed. This system consists of automatic (cluster analysis) and supervised classifications. Applicability of Byes classifier for the normally distributed feature vectors to processing of these data is estimated. Realization of the classifier of spectral-angular mapping is described.