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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Yanovsky_Rudiakova_Sinitsyn_IRS-2016.pdf | 1.52 MB | Adobe PDF | View/Open |
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