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Versione:
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it-IT
it-IT
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LDO-ID
2014-05-15-02
Titolo
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.
Autori
Pallotta Luca, Clemente Carmine, De Maio Antonio, Soraghan John, Farina Alfonso
Tipologia
Paper for Seminar/Symposium/Conference
Media
2014 IEEE - Radar Conference (19-23 May 2014, Cincinnati, Ohio USA)
Sito web
Anno
2014
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2024-11-07T10:35:04Z
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