Pseudo-Zernike moments based radar micro-Doppler classification

Tools

Pallotta, Luca and Clemente, Carmine and De Maio, Antonio and Soraghan, John J. and Farina, Alfonso; (2014) Pseudo-Zernike moments based radar micro-Doppler classification. In: 2014 IEEE Radar Conference. IEEE, USA, pp. 850-854. ISBN 978-1-4799-2034-1 (https://doi.org/10.1109/RADAR.2014.6875709)

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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.

ORCID iDs

Pallotta, Luca, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, De Maio, Antonio, Soraghan, John J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Farina, Alfonso;
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