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Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications
Репозитарій Національного Авіаційного Університету
View Archive Info| Field | Value | |
| Title |
Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications
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| Creator |
Яновський, Фелікс
Rudyakova, A.N. Sinitsyn, R.B. |
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| Subject |
radar signal processing
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| 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.
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. |
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| Date |
2017-07-27T19:02:11Z
2017-07-27T19:02:11Z 2016-05 |
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| Type |
Article
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| Identifier |
978-1-5090-2517-6
http://er.nau.edu.ua/handle/NAU/30106 |
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| Language |
en
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| Format |
application/pdf
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| Publisher |
2016 17th International Radar Symposium
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