PT  - JOURNAL ARTICLE
AU  - Stankevich, Sergey
AU  - Levashenko, Vitaly
AU  - Zaitseva, Elena
TI  - Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree
DP  - 2014 Feb 28
TA  - Communications - Scientific Letters of the University of Zilina
PG  - 109--113
VI  - 16
IP  - 1
AID - 10.26552/com.C.2014.1.109-113
IS  - 13354205
AB  - 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.