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Method of Classification of Fixed Ground Objects by Radar Images with the Use of Artificial Neural Networks

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Cyber-Physical Systems and Control (CPS&C 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 95))

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Abstract

The article considers the method of classification for ground stationary objects. As the source of data are used radar pictures of the land, which were received using the air of radio-electronic monitoring systems in the synthetic-aperture radar (SAR) mode. For the discovered ground objects, estimates of their characteristics are evaluated with the mutual orientation, geometric features of the location taken into account. The resulting data set allows creating a training sample, which is used to build an Artificial Neural Network. As a result, the Artificial Neural Network is able to classify the detected groups of objects with a given probability. In the process of modeling, the method used software module Image Processing Toolbox Matlab 2016, which allows evaluating the raster images of radar portraits. Software Neural Network Toolbox Matlab was used to form an artificial neural network. The obtained simulation results showed the possibility of application and using the technique in air radio electronic systems of monitoring the ground situation.

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Anton V. Kvasnov

Authors
  1. Anton V. Kvasnov
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Correspondence to Anton V. Kvasnov .

Editor information

Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Dmitry G. Arseniev

  2. Institute of Transport and Automation Technology, Leibniz Universität Hannover, Garbsen, Niedersachsen, Germany

    Ludger Overmeyer

  3. Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland

    Heikki Kälviäinen

  4. Institute of Production Engineering and Photonic Technologies, Vienna University of Technology, Vienna, Austria

    Branko Katalinić

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Kvasnov, A.V. (2020). Method of Classification of Fixed Ground Objects by Radar Images with the Use of Artificial Neural Networks. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_60

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  • DOI: https://doi.org/10.1007/978-3-030-34983-7_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34982-0

  • Online ISBN: 978-3-030-34983-7

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