A sea surface height estimator using synthetic aperture radar complex imagery

The reflectivity density approximately describing electromagnetic scattering from a "two-scale" rough surface has a phase linearly dependent on surface height. The synthetic aperture radar (SAR) image is a complicated partially understood transformation of this reflectivity density, but in demonstrable situations the complex image\´s phase also contains sea height information: reported here is an initial study of an algorithm that exploits this. Envelope and phase demodulation, regression, and filtering algorithms are verified and applied to simulated and actual satellite radar SEASAT-SAR data. The simulation of a simplified stationary scene established tentative sufficient conditions on large-scale SAR and sampling parameters for accurate estimation of the large-scale structure\´s height and imply feasible system design. The algorithm accurately estimated a long wavelength low-amplitude large-scale sea height structure present in a SEASAT-SAR data record, consistent with available sea truth.