Please use this identifier to cite or link to this item: http://er.nau.edu.ua:8080/handle/NAU/30106
Title: Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications
Authors: Яновський Фелікс, Yanovsky Felix
Rudyakova, A.N.
Sinitsyn, R.B.
Keywords: Radar signal processing; meteorological radar
Issue Date: May-2016
Publisher: 2016 17th International Radar Symposium (IRS)
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:8080/handle/NAU/30106
ISBN: 978-1-5090-2517-6
Appears in Collections:Наукові статті кафедри електроніки

Files in This Item:
File Description SizeFormat 
Yanovsky_Rudiakova_Sinitsyn_IRS-2016.pdf1.52 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.