气象雷达极化分类的多元耦合方法

2016 17th International Radar Symposium (IRS) Pub Date : 2016-05-10 DOI:10.1109/IRS.2016.7497371

F. Yanovsky, A. Rudiakova, R. Sinitsyn

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引用次数: 3

摘要

本文提出了一种多元耦合方法来确定不同偏振参数之间的相关性。该方法可为雷达目标的不变极化分类提供一种新的方法。以气象目标信号处理为例。

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Multivariate copula approach for polarimetric classification in weather radar applications

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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2016 17th International Radar Symposium (IRS)

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