This paper is focused to evaluate the influence of sea clutter in the performance of ship classification algorithms based on
single-pass Polarimetric SAR Interferometry (PolInSAR). For such purpose, series of numerical simulations have been
carried out with GRECOSAR, the SAR simulator of complex targets developed by UPC. There, different types of vessels
have been considered for a TerraSAR-X like sensor and a sea surface following the two-scale wave approach. The quality
of ship discrimination has been quantitatively evaluated with a novel identification method that exploits the particular scattering
properties of ships. The results show that the presence of clutter does not notably drop identification performance,
despite negative matches can be observed in some particular situations. But the requirement of single-pass interferometric
capabilities is not achieved by any of the existing orbital system. This drawback can difficult the validation of what has
been observed in simulation environments and can be one of the most limiting factors for the practical implementation of
these techniques. Ideas and possible solutions to relax the system requirements are preliminary discussed.
CitationMargarit, G.; Mallorqui, J.J. Study of sea clutter influence in ship classification algorithms based on Polarimetric SAR Inteferometry. A: European Conference on Synthetic Aperture Radar. "EUSAR-2008". Friedrichshafen: 2008, p. 1-4.
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