Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications

Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/30106

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DC Field	Value	Language
dc.contributor.author	Яновський, Фелікс	-
dc.contributor.author	Rudyakova, A.N.	-
dc.contributor.author	Sinitsyn, R.B.	-
dc.date.accessioned	2017-07-27T19:02:11Z	-
dc.date.available	2017-07-27T19:02:11Z	-
dc.date.issued	2016-05	-
dc.identifier.isbn	978-1-5090-2517-6	-
dc.identifier.uri	http://er.nau.edu.ua/handle/NAU/30106	-
dc.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.	uk_UA
dc.description.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.	uk_UA
dc.language.iso	en	uk_UA
dc.publisher	2016 17th International Radar Symposium	uk_UA
dc.subject	radar signal processing	uk_UA
dc.title	Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications	uk_UA
dc.type	Article	uk_UA
Appears in Collections:	Наукові статті кафедри електроніки, робототехніки і технологій моніторингу та інтернету речей

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