This paper addresses CFAR detection of oil slicks on the ocean surface by resorting to possibly polarimetric SAR data. The proposed GLRT-based detectors do not require secondary data (namely pixels from a slick-free area); remarkably, the performance assessment, carried out by resorting to real SAR recordings, shows that they guarantee detection capabilities comparable to those of previouslyproposed polarimetric CFAR detectors which though make use of secondary data. The preliminary performance assessment seems to indicate that processing polarimetric data does not improve detectability of oil slicks.
Non-trained Oil Slicks CFAR Detection based upon (possibly Polarimetric) SAR Data
BANDIERA, Francesco;RICCI, Giuseppe
2004-01-01
Abstract
This paper addresses CFAR detection of oil slicks on the ocean surface by resorting to possibly polarimetric SAR data. The proposed GLRT-based detectors do not require secondary data (namely pixels from a slick-free area); remarkably, the performance assessment, carried out by resorting to real SAR recordings, shows that they guarantee detection capabilities comparable to those of previouslyproposed polarimetric CFAR detectors which though make use of secondary data. The preliminary performance assessment seems to indicate that processing polarimetric data does not improve detectability of oil slicks.File in questo prodotto:
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