Abstract
We present a consistent theory of synthetic aperture radar (SAR) imaging of the ocean surface. Based on the composite model of microwave backscattering, the theory describes both the image itself and speckle noise, which is the factor preventing the interpretation of SAR imagery of the ocean. We propose a new spectral estimate, which, from the statistical viewpoint, eliminates completely speckle noise in the SAR image spectrum and does not deteriorate the SAR resolution. The new technique for estimating the spectrum is tested using the SAR data of the European satellites ERS-1 and ERS-2.
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