2D ocean surface SAR images simulation: a statistical approach

This paper outlines a method for simulating the ocean surface as seen by a space borne synthetic aperture radar (SAR). A statistical approach was chosen in order to integrate the different mechanisms responsible for the imaging of the surface waves. A 2D sea-state surface was simulated, then divided in facets (of approximately the size of a resolution cell) and each facet was given a statistical behaviour under a surface constraint. Different parameters may be adjusted, such as swell direction or sea-state roughness. Tests and measurements developed for the analysis of SAR images are then used in an effort to assert the characterization of the sea surface under various conditions of wavelength and roughness