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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v39.i3.40
pages 37-50

Analysis of Applicability of Neural Networks for Classification of Satellite Data

Sergey V. Skakun
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine
Ekaterina V. Nasuro
National Aviation University, Kiev, Ukraine
Alla N. Lavrenyuk
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine; National Technical University of Ukraine "Kiev Polytechnical Institute"
Olga M. Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine; National Technical University of Ukraine "Kiev Polytechnical Institute"

ABSTRACT

We analyze possibilities of application of different neural networks and methods of their learning for classification of data of remote sensing of the Earth, namely of a multilayer perceptron, learned by different methods of the first and the second order; neural network on the basis of radial basis functions; neural network of ARTMAP type, based on the theory of adaptive resonance.