Improved Oil Slick Detection and Classification with Polarimetric SAR

Statistics – Applications

Scientific paper

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Scientific paper

A study on the potential of space-borne polarimetric synthetic aperture radar (SAR) imagery for an improved detection and classification of oil spills is presented. An image data set consisting of five SIR-C/X-SAR acquisitions over the North Sea, English Channel, and Southern Italy is used. Results show that two land surface roughness indicators (i.e., the circular polarization coherence (CPC) and the polarimetric anisotropy) can also be used to identify oil spills both in L and C-Band imagery. The polarimetric anisotropy is shown to be a quite robust indicator of oil slicks on the sea surface.

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