Pseudo-Zernike moments based radar micro-Doppler classification

Luca Pallotta; Carmine Clemente; Antonio De Maio; John J. Soraghan; Alfonso Farina

doi:10.1109/RADAR.2014.6875709

Pseudo-Zernike moments based radar micro-Doppler classification

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

26 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 IEEE Radar Conference
Publisher	IEEE
Pages	850-854
Number of pages	5
ISBN (Print)	978-1-4799-2034-1
DOIs	https://doi.org/10.1109/RADAR.2014.6875709
Publication status	Published - May 2014
Event	2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States Duration: 19 May 2014 → 23 May 2014

Conference

Conference	2014 IEEE Radar Conference, RadarCon 2014
Country/Territory	United States
City	Cincinnati, OH
Period	19/05/14 → 23/05/14

Keywords

Doppler radar
Zernike polynomials
radar signal processing
signal classification

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10.1109/RADAR.2014.6875709

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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.",

keywords = "Doppler radar, Zernike polynomials, radar signal processing, signal classification",

author = "Luca Pallotta and Carmine Clemente and {De Maio}, Antonio and Soraghan, {John J.} and Alfonso Farina",

year = "2014",

month = may,

doi = "10.1109/RADAR.2014.6875709",

language = "English",

isbn = "978-1-4799-2034-1 ",

pages = "850--854",

booktitle = "2014 IEEE Radar Conference",

publisher = "IEEE",

note = "2014 IEEE Radar Conference, RadarCon 2014 ; Conference date: 19-05-2014 Through 23-05-2014",

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TY - GEN

T1 - Pseudo-Zernike moments based radar micro-Doppler classification

AU - Pallotta, Luca

AU - Clemente, Carmine

AU - De Maio, Antonio

AU - Soraghan, John J.

AU - Farina, Alfonso

PY - 2014/5

Y1 - 2014/5

N2 - 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.

AB - 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.

KW - Doppler radar

KW - Zernike polynomials

KW - radar signal processing

KW - signal classification

UR - http://www.scopus.com/inward/record.url?scp=84906748249&partnerID=8YFLogxK

U2 - 10.1109/RADAR.2014.6875709

DO - 10.1109/RADAR.2014.6875709

M3 - Conference contribution book

AN - SCOPUS:84906748249

SN - 978-1-4799-2034-1

SP - 850

EP - 854

BT - 2014 IEEE Radar Conference

PB - IEEE

T2 - 2014 IEEE Radar Conference, RadarCon 2014

Y2 - 19 May 2014 through 23 May 2014

ER -

Pseudo-Zernike moments based radar micro-Doppler classification

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