Numerical study on SAR-based rogue wave detection part one: SAR image simulation

The scarcity of ground-truth data for intercomparison and validation obviously limits the development of rogue wave detection algorithms from synthetic aperture radar (SAR) images. In this study, a numerical method of SAR image simulation for the purpose of validating rogue wave detection algorithms is proposed. Our work is divided into two parts, this first part focuses on SAR image simulation unique in that enhanced high order spectral (HOS) model and two-scale rogue wave sea surface model are included, by which we take nonlinear interaction of rogue waves and Bragg short waves into account and get vivid three-dimensional (3D) rogue wave sea surface and SAR images. Our work contributes to the experimental operational use of SAR data for the remote sensing of rouge waves.

[1]  D. Ross,et al.  On the detectability of ocean surface waves by real and synthetic aperture radar , 1981 .

[2]  Zhang Yun-qiu Numerical simulation of freak waves and its generation at a certain location , 2006 .

[3]  Breathing rogue wave observed in numerical experiment. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Johannes Schulz-Stellenfleth,et al.  Measurement of extreme wave height by ERS-2 SAR and numerical wave model (WAM) , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Xie Tao,et al.  Numerical calculation of parameters of freak wave and its dispersion relation , 2009 .

[6]  Giorgio Franceschetti,et al.  On ocean SAR raw signal simulation , 1998, IEEE Trans. Geosci. Remote. Sens..

[7]  P. Heimbach,et al.  An improved algorithm for the retrieval of ocean wave spectra from synthetic aperture radar image spectra , 1996 .

[8]  Joel T. Johnson,et al.  Further numerical studies of backscattering from time-evolving nonlinear sea surfaces , 2003, IEEE Trans. Geosci. Remote. Sens..

[9]  M. Longuet-Higgins A nonlinear mechanism for the generation of sea waves , 1969, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[10]  Joel T. Johnson,et al.  Further numerical studies of backscattering from time evolving non-linear sea surfaces , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[11]  Stephan T. Grilli,et al.  Numerical modeling of extreme rogue waves generated by directional energy focusing , 2007 .

[12]  L. Landesa,et al.  The generalized forward-backward method for analyzing the scattering from targets on ocean-like rough surfaces , 1999, IEEE Antennas and Propagation Society International Symposium. 1999 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.99CH37010).

[13]  Harald E. Krogstad,et al.  Oceanic Rogue Waves , 2008 .

[14]  Johannes Schulz-Stellenfleth,et al.  Detection of extreme waves using synthetic aperture radar images , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[15]  S. Caires,et al.  Validation of ocean wind and wave data using triple collocation , 2003 .

[16]  赵西增,et al.  Efficient Focusing Models for Generation of Freak Waves , 2009 .

[17]  Stephan T. Grilli,et al.  Numerical study of three-dimensional overturning waves in shallow water , 2006, Journal of Fluid Mechanics.

[18]  Ya-Qiu Jin,et al.  Numerical simulation of radar surveillance for the ship target and oceanic clutters in two‐dimensional model , 2003 .

[19]  A. Mouche,et al.  Radar scattering of the ocean surface and sea-roughness properties : A combined analysis from dual-polarizations airborne radar observations and models in C band , 2006 .

[20]  Xiaoming Li,et al.  Ocean Wave Integral Parameter Measurements Using Envisat ASAR Wave Mode Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.