 A land cover classification system is very important nowadays for various remote sensing applications and many sectors of economy. Therefore, development of algorithms for multi and hyperspectral imagery classification is an urgent task. In this paper we present a new efficient algorithm for multi and hyperspectral imagery classification based on a fuzzy decision tree approach. Multispectral imagery spectral bands are used as fuzzy data source attributes and cumulative mutual information between them and the resulting fuzzy classification as a decision tree inducing criterion. The proposed algorithm ensures good classification accuracy. This article was authored by Sergei Stankovic, Vitaly Levashenko, and Elena Zaitseva.