A FARIMA based analysis for wind falls and oil slicks discrimination in sea SAR imagery

Author

Bertacca, Massimo ; Berizzi, Fabrizio ; Mese, Enzo Dalle ; Capria, Amerigo

Author_Institution

Dept. of Inf. Eng., Pisa Univ.

Volume

7

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

4703

Abstract

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

Keywords

oceanographic regions; oceanographic techniques; oils; radar imaging; remote sensing by radar; synthetic aperture radar; wind; ARMA parameters; Atlantic ocean; ERS-1 images; ERS-2 images; FARIMA based analysis; Galicia ocean; Mediterranean sea; North sea; fractionally integrated autoregressive-moving average model; oil slicks discrimination; sea SAR imagery; wind falls; Anisotropic magnetoresistance; Environmental economics; Geology; Hydrology; Image analysis; Information analysis; Mathematics; Oceans; Petroleum; Wind speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370208

Filename

1370208