RT Journal Article
SR Electronic
A1 Stankevich, Sergey
A1 Levashenko, Vitaly
A1 Zaitseva, Elena
T1 Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree
JF Communications - Scientific Letters of the University of Zilina
YR 2014
VO 16
IS 1
SP 109
OP 113
DO 10.26552/com.C.2014.1.109-113
UL https://komunikacie.uniza.sk/artkey/csl-201401-0019.php
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.