Multispectral Satellite Imagery Classification Using a Fuzzy Decision Tree

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-...

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Bibliographic Details
Main Authors: Sergey Stankevich, Vitaly Levashenko, Elena Zaitseva
Format: Article
Language:English
Published: University of Žilina 2014-02-01
Series:Communications
Subjects:
Online Access:https://komunikacie.uniza.sk/artkey/csl-201401-0019_multispectral-satellite-imagery-classification-using-a-fuzzy-decision-tree.php