The aim of this paper is to define an analysis technique, which uses the fractionally integrated autoregressive-moving average (FARIMA) model, for discriminating wind falls from oil slick areas in sea SAR imagery. The method deals with the estimation of the fractional differencing and ARMA parameters for the sea SAR images mean radial PSD and is applied to some ERS-1 and ERS-2 images of the Mediterranean sea, North sea and Atlantic (Galicia) ocean containing only oil slick or only wind falls, or wind falls and oil slick anomalies
['M. Bertacca', 'F. Berizzi', 'E. Dalle Mese', 'Amerigo Capria']
A FARIMA based analysis for wind falls and oil slicks discrimination in sea SAR imagery