Acta Oceanologica Sinica

, Volume 36, Issue 5, pp 105–114 | Cite as

The polarimetric features of oil spills in full polarimetric synthetic aperture radar images

  • Honglei Zheng
  • Yanmin Zhang
  • Yunhua Wang
  • Xi Zhang
  • Junmin Meng
Article

Abstract

Compared with single-polarized synthetic aperture radar (SAR) images, full polarimetric SAR images contain not only geometrical and backward scattering characteristics, but also the polarization features of the scattering targets. Therefore, the polarimetric SAR has more advantages for oil spill detection on the sea surface. As a crucial step in the oil spill detection, a feature extraction directly influences the accuracy of oil spill discrimination. The polarimetric features of sea oil spills, such as polarimetric entropy, average scatter angle, in the full polarimetric SAR images are analyzed firstly. And a new polarimetric parameter P which reflects the proportion between Bragg and specular scattering signals is proposed. In order to investigate the capability of the polarimetric features for observing an oil spill, systematic comparisons and analyses of the multipolarization features are provided on the basis of the full polarimetric SAR images acquired by SIR-C/X-SAR and Radarsat-2. The experiment results show that in C-band SAR images the oil spills can be detected more easily than in L-band SAR images under low to moderate wind speed conditions. Moreover, it also finds that the new polarimetric parameter is sensitive to the sea surface scattering mechanisms. And the experiment results demonstrate that the new polarimetric parameter and pedestal height perform better than other polarimetric parameters for the oil spill detection in the C-band SAR images.

Key words

full polarimetric synthetic aperture radar oil spill detection multipolarization features 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgements

The authors thank the NASA Jet Propulsion Laboratory for providing the SIR-C/X-SAR data used in this study.

References

  1. Brekke C, Solberg A H S. 2005. Oil spill detection by satellite remote sensing. Remote Sens Environ, 95(1): 1–13CrossRefGoogle Scholar
  2. Cloude S R, Pottier E. 1996. A review of target decomposition theorems in radar polarimetry. IEEE Trans Geosci Remote Sens, 34(2): 498–518CrossRefGoogle Scholar
  3. Durden S L, Van Zyl J J, Zebker H A. 1990. The unpolarized component in polarimetric radar observations of forested areas. IEEE Trans Geosci Remote Sens, 28(2): 268–271CrossRefGoogle Scholar
  4. Fiscella B, Giancaspro A, Nirchio F, et al. 2000. Oil spill detection using marine SAR images. Int J Remote Sens, 21(18): 3561–3566CrossRefGoogle Scholar
  5. Lee J S, Pottier E. 2009. Polarimetric Radar Imaging: from Basics to Applications. Boca Raton: CRC PressGoogle Scholar
  6. Li Haiyan, Perrie W, He Yijun, et al. 2015. Analysis of the polarimetric SAR scattering properties of oil-covered waters. IEEE J Sel Top Appl Earth Obs Remote Sens, 8(8): 3751–3759CrossRefGoogle Scholar
  7. Lombardini P P, Fiscella B, Trivero P, et al. 1989. Modulation of the spectra of short gravity waves by sea surface films: slick detection and characterization with a microwave probe. J Atmos Oceanic Technol, 6(6): 882–890CrossRefGoogle Scholar
  8. Migliaccio M, Nunziata F, Buono A. 2015. SAR polarimetry for sea oil slick observation. Int J Remote Sens, 36(12): 3243–3273CrossRefGoogle Scholar
  9. Migliaccio M, Nunziata F, Gambardella A. 2009. On the co-polarized phase difference for oil spill observation. Int J Remote Sens, 30(6): 1587–1602CrossRefGoogle Scholar
  10. Migliaccio M, Tranfaglia M. 2005. A study on the capability of sar polarimetry to observe oil spills. ESA Special Publication, 586: 25–30Google Scholar
  11. Minchew B, Jones C E, Holt B. 2012. Polarimetric analysis of backscatter from the Deepwater Horizon oil spill using L-band synthetic aperture radar. IEEE Trans Geosci Remote Sens, 50(10): 3812–3830CrossRefGoogle Scholar
  12. Nunziata F, Gambardella A, Migliaccio M. 2013. On the degree of polarization for SAR sea oil slick observation. ISPRS J Photogramm Remote Sens, 78: 41–49CrossRefGoogle Scholar
  13. Nunziata F, Migliaccio M, Gambardella A. 2011. Pedestal height for sea oil slick observation. IET Radar, Sonar Navig, 5(2): 103–110CrossRefGoogle Scholar
  14. Peli E. 1990. Contrast in complex images. J Opt Soc Am A, 7(10): 2032–2040CrossRefGoogle Scholar
  15. Pinel N, Dechamps N, Bourlier C. 2008. Modeling of the bistatic electromagnetic scattering from sea surfaces covered in oil for microwave applications. IEEE Trans Geosci Remote Sens, 46(2): 385–392CrossRefGoogle Scholar
  16. Salberg A B, Rudjord O, Solberg A H S. 2012. Model based oil spill detection using polarimetric SAR. In: Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich: IEEE, 5884–5887CrossRefGoogle Scholar
  17. Salberg A B, Rudjord O, Solberg A H S. 2014. Oil spill detection in hybrid- polarimetric SAR images. IEEE Trans Geosci Remote Sens, 52(10): 6521–6533CrossRefGoogle Scholar
  18. Schuler D L, Lee J S. 2006. Mapping ocean surface features using biogenic slick-fields and SAR polarimetric decomposition techniques. IEE Proc Radar, Sonar Navig, 153(3): 260–270CrossRefGoogle Scholar
  19. Schuler D L, Lee J S, Hoppel K W. 1993. Polarimetric SAR image signatures of the ocean and Gulf Stream features. IEEE Trans Geosci Remote Sens, 31(6): 1210–1221CrossRefGoogle Scholar
  20. Skrunes S, Brekke C, Eltoft T. 2012. Oil spill characterization with multi-polarization C-and X-band SAR. In: Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium. Munich: IEEE, 5117–5120CrossRefGoogle Scholar
  21. Skrunes S, Brekke C, Eltoft T. 2014. Characterization of marine surface slicks by Radarsat-2 multipolarization features. IEEE Trans Geosci Remote Sens, 52(9): 5302–5319CrossRefGoogle Scholar
  22. Solberg A H S, Brekke C, Ove Husoy P. 2007. Oil spill detection in radarsat and envisat SAR images. IEEE Trans Geosci Remote Sens, 45(3): 746–755CrossRefGoogle Scholar
  23. Velotto D, Migliaccio M, Nunziata F, et al. 2011. Dual-polarized TerraSAR-X data for oil-spill observation. IEEE Trans Geosci Remote Sens, 49(12): 4751–4762CrossRefGoogle Scholar
  24. Zhang Biao, Perrie W, Li Xiaofeng, et al. 2011. Mapping sea surface oil slicks using RADARSAT-2 quad-polarization SAR image. Geophys Res Lett, 38(10): L10602CrossRefGoogle Scholar

Copyright information

© The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Honglei Zheng
    • 1
  • Yanmin Zhang
    • 1
  • Yunhua Wang
    • 1
  • Xi Zhang
    • 2
  • Junmin Meng
    • 2
  1. 1.College of Information Science and EngineeringOcean University of ChinaQingdaoChina
  2. 2.The First Institute of OceanographyState Oceanic AdministrationQingdaoChina

Personalised recommendations