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

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 7, Issue , 2004, Pages 4703-4706

  Bertacca, Massimo ^a   Berizzi, Fabrizio ^a   Mese, Enzo Dalle ^a   Capria, Amerigo ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; CORRELATION METHODS; GRAVITY WAVES; IMAGE ANALYSIS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OIL SPILLS; POLYNOMIALS; RESONANCE; SYNTHETIC APERTURE RADAR; TRANSFER FUNCTIONS; WIND EFFECTS;

FRACTIONALLY INTEGRATED AUTOREGRESSIVE-MOVING AVERAGE (FARIMA) MODEL; OIL SLICKS; POWER SPECTRAL DENSITY (PSD); WIND FALLS;

REGRESSION ANALYSIS;

EID: 15944422171     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. J. Beran, "Statistics for Long-Memory Processes", London, U.K., Chapman & Hall, 1994
2. I. Reed, P. Lee, and T. Truong, "Spectral representation of fractional Brownian motion in n dimension and its properties," Information Theory, IEEE Transaction on, Volume 41, Issue 5, Sept 1995, Pages 1439-1451.
3. J. How, H. Leung, "Self-similar texture modeling using FARIMA processes with applications to satellite images" Image Processing, IEEE Transactions on. Volume 10, Issue 5, May 2001 Pages 792 - 797.