Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/30106
Title: Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications
Authors: Яновський, Фелікс
Rudyakova, A.N.
Sinitsyn, R.B.
Keywords: radar signal processing
Issue Date: May-2016
Publisher: 2016 17th International Radar Symposium
Abstract: The paper presents a multivariate copula approach to identify the dependence between different polarimetric parameters. This approach can be used to develop a new method of invariant polarimetric classification of radar targets. Signals from meteorological target are processed as an example.
Description: F.J. Yanovsky, A.N. Rudyakova, and R.B. Sinitsyn, Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications. 2016 17th International Radar Symposium (IRS) ISBN: 978-1-5090-2517-6, Krakow, May 10-12, 2016, pp. 1-4.
URI: http://er.nau.edu.ua/handle/NAU/30106
ISBN: 978-1-5090-2517-6
Appears in Collections:Наукові статті кафедри електроніки, робототехніки і технологій моніторингу та інтернету речей

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