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Frontiers of Earth Science

, Volume 13, Issue 2, pp 351–360 | Cite as

Comparison of C- and L-band simulated compact polarized SAR in oil spill detection

  • Xiaochen Wang
  • Yun Shao
  • Fengli ZhangEmail author
  • Wei Tian
Research Article

Abstract

This paper presents the compact polarized (CP) pseudo quad-pol parameters for the detection of marine oil spills and segregation of lookalikes using simulated CP SAR data from full-polarized (FP) SAR imagery. According to the CP theory, 11 polarized parameters generally used for the detection of oil spills were derived from reconstructed pseudo quad-pol data for both C and L bands. In addition, the reconstruction performance between C and L bands was also compared by evaluating the reconstruction accuracy of retrieved polarized parameters. The results show that apart from σHV and RH, other polarized parameters of σHH, σVV, H, α, φH–V, r, ρH–V, and γ can be reconstructed with satisfactory accuracy for both C and L bands. Furthermore, C band has a higher reconstruction accuracy than L band, especially for φH–V. Moreover, the effect of reconstruction of polarized parameters on oil spill classification was also evaluated using the maximum likelihood classification (MLC) method. According to the evaluation of kappa coefficients and mapping accuracy, it is recommended to use σHH, σVV, H, ρH–V, and γ of the C band CP SAR for marine oil spill classification.

Keywords

compact polarized reconstruction oil spill classification 

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Notes

Acknowledgements

The authors gratefully acknowledge the financial supports from the National Basic Research Program of China (Nos. 2016YFB0502504 and 2016YFB0502500) and the National Natural Science Foundation of China (Grant Nos. 41431174, 61471358, 41671359, and 41401427), the ALOS research program (PI1404). This article is partly sponsored by the Funding of Scholarship of Chinese Academy of Sciences. The authors would also acknowledge Professor Zhang from the First Institute of Oceanography, State Oceanic Administration, for supporting research on CP theory.

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Xiaochen Wang
    • 1
    • 2
    • 3
  • Yun Shao
    • 1
    • 2
    • 3
  • Fengli Zhang
    • 1
    • 2
    • 3
    Email author
  • Wei Tian
    • 1
    • 2
    • 3
  1. 1.Laboratory of Target Microwave PropertiesDeqing Academy of Satellite ApplicationsHuzhouChina
  2. 2.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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