Polarimetric ISAR autofocusing

M. Martorella; J. Palmer; F. Berizzi; B. Haywood; B. Bates

Polarimetric ISAR autofocusing

Access Full Text

Polarimetric ISAR autofocusing

Author(s): M. Martorella ; J. Palmer ; F. Berizzi ; B. Haywood ; B. Bates
DOI: 10.1049/iet-spr:20070121

For access to this article, please select a purchase option:

Buy article PDF

Buy Knowledge Pack

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership

Recommend Title Publication to library

IET Signal Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Author(s): M. Martorella ¹ ; J. Palmer ² ; F. Berizzi ¹ ; B. Haywood ² ; B. Bates ^{2, 3}
- Affiliations: 1: Department of Ingegneria dell'Informazione, University of Pisa, Pisa, Italy
  2: Department of Ingegneria dell'Informazione, Defence Science and Technology Organisation, Edinburgh, Australia
  3: School of EEE, University of Adelaide, Adelaide, Australia
Source: Volume 2, Issue 3, September 2008, p. 312 – 324
DOI: 10.1049/iet-spr:20070121 , Print ISSN 1751-9675, Online ISSN 1751-9683

Published

Interest in polarimetric inverse synthetic aperture radar (ISAR) systems has been growing because of their capability to provide extra information about the imaged target compared with single polarisation ISAR systems. Target classification and recognition can be improved by exploiting full polarisation ISAR images. Moreover, full polarisation can be exploited for improving image formation and in particular image autofocusing. Two novel image autofocusing techniques are defined by extending two well-known single polarisation autofocusing techniques, namely the image contrast-based autofocus and image entropy-based autofocus. A performance analysis is carried out by comparing the results obtained by using the extended and the original autofocusing techniques.

References

1. 1)
  - L.M. Walker . Studies of target detection algorithms that use polarimetric radar data. IEEE Trans Aerosp. Electron. Syst. , 150 - 165
2. 2)
  - J.C. Lagarias , J.A. Reeds , M.H. Wright , P.E. Wright . Convergence properties of the Nelder–Mead simplex method in low dimensions. SIAM J. Optim. , 1 , 112 - 147
3. 3)
  - R. Touzi , R.K. Raney , F. Charbonneau . On the use of permanent symmetric scatterers for ship characterization. IEEE Trans. Geosci. Remote Sens. , 10 , 2039 - 2045
4. 4)
  - Martorella, M., Cantini, L., Berizzi, F., Haywood, B., Dalle Mese, E.: `Optimised image autofocusing for polarimetric ISAR', Proc. Eusipco 2006 Conf., 2006, Florence, Italy.
5. 5)
  - M. Iwamoto , T. Fujisaka , M. Kondoh . Autofocusing algorithm of inverse synthetic aperture radar using entropy. Electron. Commun. Jpn. , 97 - 106
6. 6)
  - R. Touzi , F. Charbonneau . Characterization of target symmetric scattering using polarimetric SARs. IEEE Trans. Geosci. Remote Sens. , 11 , 2507 - 2516
7. 7)
  - S.R. Cloude , E. Pottier . A review of target decomposition theorems in radar polarimetry. IEEE Trans. Geosci. Remote Sens. , 2 , 498 - 518
8. 8)
  - R. Morrison , M.N. Do , D.C. Munson . SAR image autofocus by sharpness optimisation: a theoretical study. IEEE Trans. Image Process. , 2309 - 2321
9. 9)
  - M. Migliaccio , A. Gambardella , M. Tranfaglia . SAR polarimetry to observe oil spills. IEEE Trans. Geosci. Remote Sens. , 506 - 511
10. 10)
  - W.L. Cameron , H. Rais . Conservative polarimetric scatterers and their role in incorrect extensions of the Cameron decomposition. IEEE Trans. Geosci. Remote Sens. , 12 , 3506 - 3516
11. 11)
  - Morrison, R., Munson, D.C.: `An experiemntal study of a new entropy-based SAR autofocusing technique', Proc. 2002 Int. Conf. Image Processing, 2002, 2, p. 441–444.
12. 12)
  - X. Li , G. Liu , J. Ni . Autofocusing of ISAR images based on entropy minimization. IEEE Trans. Aerosp. Electron. Syst. , 4 , 1240 - 1251
13. 13)
  - W.L. Cameron , N.N. Youssef , L.K. Leung . Simulated polarimetric signatures of primitive geometrical shapes. IEEE Trans. Geosci. Remote Sens. , 3 , 793 - 803
14. 14)
  - Stacy, N., Badger, D., Goh, A., Preiss, M., Williams, M.: `The DSTO ingara airbone x-band SAR polarimetric upgrade: first results', Proc. Geoscience and Remote Sensing Symp., 21–25 July 2003, Toulouse, France.
15. 15)
  - F. Berizzi , G. Corsini . Autofocusing of inverse synthetic aperture radar images using contrast optimization. IEEE Trans. Aerosp. Electron. Syst. , 1185 - 1191
16. 16)
  - M. Martorella , F. Berizzi , S. Bruscoli . Use of genetic algorithms for contrast maximization and entropy minimization in ISAR autofocusing. EURASIP J. Appl. Signal Process. , 1 - 11
17. 17)
  - S. Jiancheng , J. Dozier . An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans. Geosci. Remote Sens. , 905 - 914
18. 18)
  - S.R. Cloude , E. Pottier . An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans. Geosci. Remote Sens. , 1 , 68 - 78
19. 19)
  - J.R. Fienup , J.J. Miller . Aberration correction by maximising generalised sharpness metrics. J. Opt. Soc. Am. A , 609 - 620
20. 20)
  - S.R. Cloude , K.P. Papathanassiou . Polarimetric SAR interferometry. IEEE Trans. Geosci. Remote Sens. , 5 , 1551 - 1565
21. 21)
  - Showman, G.A., Richards, M.A., Sangston, K.J.: `Comparison of two algorithms for correcting zero-Doppler clutter in turntable ISAR imagery', Conf. Record of the Thirty-Second Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, 1998, p. 411–415.
22. 22)
  - M. Martorella , F. Berizzi , B. Haywood . Contrast maximisation based technique for 2-D ISAR autofocusing. IEE Proc. Radar Sonar Navig. , 4 , 253 - 262

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Polarimetric ISAR autofocusing

Polarimetric ISAR autofocusing

Buy article PDF

Buy Knowledge Pack

Thank you

References

Related content