Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR

Domenico Gaglione, Carmine Clemente, Luca Pallotta, Ian Proudler, Antonio De Maio, John J. Soraghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

Automatic Target Recognition (ATR) is one of the most challenging areas of the modern radar signal processing field. In this paper a recognition algorithm for full-polarimetric SAR images, that is robust with respect to rotations and target roll, is presented. It is based on the use of the pseudo-Zernike moments and the Krogager decomposition components, and
exploits multiple sources of information such as polarization and spatial diversity. The effectiveness of the proposed approach has been demonstrated with real full polarimetric SAR data.
LanguageEnglish
Title of host publication2014 Sensor Signal Processing for Defence (SSPD)
Subtitle of host publicationConference 2014
PublisherIEEE
Pages26-30
Number of pages5
ISBN (Print)978-1-4799-5294-6
Publication statusPublished - Sep 2014
Event2014 Sensor Signal Processing for Defence - Scotland, Edinburgh, United Kingdom
Duration: 8 Sep 20149 Sep 2014

Conference

Conference2014 Sensor Signal Processing for Defence
CountryUnited Kingdom
CityEdinburgh
Period8/09/149/09/14

Fingerprint

Automatic target recognition
Polarization
Decomposition
Radar signal processing

Keywords

  • Krogager
  • automatic target recognition
  • spatial diversity
  • SAR imaging

Cite this

Gaglione, D., Clemente, C., Pallotta, L., Proudler, I., De Maio, A., & Soraghan, J. J. (2014). Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In 2014 Sensor Signal Processing for Defence (SSPD): Conference 2014 (pp. 26-30). IEEE.
Gaglione, Domenico ; Clemente, Carmine ; Pallotta, Luca ; Proudler, Ian ; De Maio, Antonio ; Soraghan, John J. / Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. 2014 Sensor Signal Processing for Defence (SSPD): Conference 2014. IEEE, 2014. pp. 26-30
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abstract = "Automatic Target Recognition (ATR) is one of the most challenging areas of the modern radar signal processing field. In this paper a recognition algorithm for full-polarimetric SAR images, that is robust with respect to rotations and target roll, is presented. It is based on the use of the pseudo-Zernike moments and the Krogager decomposition components, andexploits multiple sources of information such as polarization and spatial diversity. The effectiveness of the proposed approach has been demonstrated with real full polarimetric SAR data.",
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author = "Domenico Gaglione and Carmine Clemente and Luca Pallotta and Ian Proudler and {De Maio}, Antonio and Soraghan, {John J.}",
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Gaglione, D, Clemente, C, Pallotta, L, Proudler, I, De Maio, A & Soraghan, JJ 2014, Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. in 2014 Sensor Signal Processing for Defence (SSPD): Conference 2014. IEEE, pp. 26-30, 2014 Sensor Signal Processing for Defence, Edinburgh, United Kingdom, 8/09/14.

Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. / Gaglione, Domenico; Clemente, Carmine; Pallotta, Luca; Proudler, Ian; De Maio, Antonio; Soraghan, John J.

2014 Sensor Signal Processing for Defence (SSPD): Conference 2014. IEEE, 2014. p. 26-30.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Gaglione D, Clemente C, Pallotta L, Proudler I, De Maio A, Soraghan JJ. Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In 2014 Sensor Signal Processing for Defence (SSPD): Conference 2014. IEEE. 2014. p. 26-30