Publications

Version: 1.1 Approved

LDO-ID 2014-05-15-02

Title Pseudo-Zernike Moments Based Radar Micro-Doppler Classification

Abstract

Reliable micro-Doppler signature classification requires the use of robust features describing uniquely the micromotion. 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.

Authors Pallotta Luca, Clemente Carmine, De Maio Antonio, Soraghan John, Farina Alfonso

Type Paper for Seminar/Symposium/Conference

Media 2014 IEEE - Radar Conference (19-23 May 2014, Cincinnati, Ohio USA)

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Anno 2014