A FARIMA-based technique for oil Slick and low-wind areas discrimination in sea SAR imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 11, 2005, Pages 2484-2493

  Bertacca, Massimo ^a,b   Berizzi, Fabrizio ^a,b,c   Mese, Enzo Dalle ^a,b,c,d  

^a IEEE   (Italy)

^b UNIVERSITY OF PISA   (Italy)

^c UNIVERSITY OF SIENA   (Italy)

^d Naval Academy of the Italian Navy   (Italy)

Author keywords

Fractionally integrated autoregressive moving average (FARIMA) models; Long range dependence (LRD); Oil slicks; Synthetic aperture radar (SAR)

Indexed keywords

FRACTIONALLY INTEGRATED AUTOREGRESSIVE MOVING AVERAGE (FARIMA) MODELS; LONG-RANGE DEPENDENCE (LRD); OIL SLICKS; POWER SPECTRAL DENSITY;

ALGORITHMS; IMAGE ANALYSIS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REMOTE SENSING; SPECTRUM ANALYSIS;

SYNTHETIC APERTURE RADAR;

EID: 27844609283     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2005.857622     Document Type: Conference Paper

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