Pseudo-Zernike Moments Based Radar Micro-Doppler Classification

被引：0

作者：

Pallotta, Luca ^{[1
]}

Clemente, Carmine

De Maio, Antonio ^{[1
]}

Soraghan, John J. ^{[2
]}

Farina, Alfonso ^{[3
]}

机构：

[1] Univ Naples Federico II, DIETI, Via Claudio 21, I-80125 Naples, Italy

[2] Univ Strathclyde, CESIR, EEE, Glasgow G1 1XW, Lanark, Scotland

[3] Selex ES, I-00131 Rome, Italy

来源：

2014 IEEE RADAR CONFERENCE | 2014年

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Reliable micro-Doppler signature classification requires the use of robust features describing uniquely the micro-motion. Moreover, future applications of micro-Doppler classification will require meaningful representation of the observed target by using a limited set of values. In this paper the application of the pseudo-Zernike moments for micro-Doppler classification is introduced demonstrating the effectiveness of the proposed approach by classifying real data. The use of pseudo-Zernike moments allows invariant features to be obtained that are able to discriminate the content of two-dimensional matrices with a small number of coefficients.

引用

页码：850 / 854

页数：5

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