Journal of electromagnetic engineering and science

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
권호 표지
DOI QR코드

DOI QR Code

An Improved Semi-Empirical Model for Radar Backscattering from Rough Sea Surfaces at X-Band

  • Jin, Taekyeong (Department of Electronic and Electrical Engineering, Hongik University) ;
  • Oh, Yisok (Department of Electronic and Electrical Engineering, Hongik University)
  • Received : 2018.01.08
  • Accepted : 2018.04.11
  • Published : 2018.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

We propose an improved semi-empirical scattering model for X-band radar backscattering from rough sea surfaces. This new model has a wider validity range of wind speeds than does the existing semi-empirical sea spectrum (SESS) model. First, we retrieved the small-roughness parameters from the sea surfaces, which were numerically generated using the Pierson-Moskowitz spectrum and measurement datasets for various wind speeds. Then, we computed the backscattering coefficients of the small-roughness surfaces for various wind speeds using the integral equation method model. Finally, the large-roughness characteristics were taken into account by integrating the small-roughness backscattering coefficients multiplying them with the surface slope probability density function for all possible surface slopes. The new model includes a wind speed range below 3.46 m/s, which was not covered by the existing SESS model. The accuracy of the new model was verified with two measurement datasets for various wind speeds from 0.5 m/s to 14 m/s.

Keywords

References

  1. A. K. Fung and K. Lee, "A semi-empirical sea-spectrum model for scattering coefficient estimation," IEEE Journal of Oceanic Engineering, vol. 7, no. 4, pp. 166-176, 1982. https://doi.org/10.1109/JOE.1982.1145535
  2. A. K. Fung, Z. Li, and K. S. Chen, "Backscattering from a randomly rough dielectric surface," IEEE Transactions on Geoscience and Remote Sensing, vol. 30, no. 2, pp. 356-369, 1992. https://doi.org/10.1109/36.134085
  3. A. K. Fung, Backscattering from Multiscale Roughness Surfaces with Application to Wind Scatterometry. London: Artech House, 2015.
  4. O. Isoguchi and M. Shimada, "An L-band ocean geophysical model function derived from PALSAR," IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 7, pp. 1925-1936, 2009. https://doi.org/10.1109/TGRS.2008.2010864
  5. J. R. Carswell, W. J. Donnelly, R. E. McIntosh, M. A. Donelan, and D. C. Vandemark, "Analysis of C and Ku band ocean backscatter measurements under low‐wind conditions," Journal of Geophysical Research, vol. 104, no. C9, pp. 20678-20701, 1999.
  6. W. J. Pierson and L. Moskowitz, "A proposed spectral form of fully developed wind seas based on the similarity theory of S. A. Kitaigorodskii," Journal of Geophysical Research, vol. 69, no. 24, pp. 5181-5190, 1964. https://doi.org/10.1029/JZ069i024p05181
  7. J. C. Daley, J. T. Ransone, and J. A. Burkett, "Radar sea return JOSS I," Naval Research Laboratory Report No. 7268, 1971.
  8. J. C. Daley, J. T. Ransone, and J. A. Burkett, "Wind dependence of radar sea return," Journal of Geophysical Research, vol. 78, no. 33, pp. 7823-7833, 1973. https://doi.org/10.1029/JC078i033p07823

Cited by

  1. A Simple Empirical Model for the Radar Backscatters of Skewed Sea Surfaces at X- and Ku-Bands vol.19, pp.3, 2018, https://doi.org/10.26866/jees.2019.19.3.204
  2. Prediction of Electromagnetic Wave Propagation in Troposphere Using Parabolic Equation and Two-Dimensional Refractivity vol.15, pp.3, 2018, https://doi.org/10.1007/s42835-020-00395-9
  3. Performance Evaluation of a Modified SweepSAR Mode for Quad-Pol Application in SAR Systems vol.20, pp.3, 2018, https://doi.org/10.26866/jees.2020.20.3.199