1. Spectral analysis of non-stationary ocean SAR images using the Wigner-Ville transform
- Author
-
Grassin, Stéphane, Garello, René, Prevosto, Marc, Département Image et Traitement Information (ITI), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), and Institut Mines-Télécom [Paris] (IMT)-Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne
- Subjects
Synthetic aperture radar ,020206 networking & telecommunications ,02 engineering and technology ,Internal wave ,Swell ,Time–frequency analysis ,Ocean dynamics ,Wavelength ,Radar imaging ,Wind wave ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,14. Life underwater ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,ComputingMilieux_MISCELLANEOUS ,Physics::Atmospheric and Oceanic Physics ,Geology ,Remote sensing - Abstract
Physical events, such as swell or internal waves, have a strong signature on ocean SAR (synthetic aperture radar) images. The spatial periodicity of these phenomena justifies the use of spectral analysis tools for their detection, localization and pertinent parameter estimation (wavelength, direction of propagation, energy, ...). However, these spectral phenomena are highly non-stationary, especially near the coast where the bathymetric conditions greatly influences the propagation. As the study of these variations are important near the coast, because of human activity, spectral analysis tools robust in non-stationary situations have to be considered. For that purpose, investigations were carried out to evaluate the efficiency of the Wigner-Ville distribution. This representation exhibits very good properties and has been quite extensively studied, even if the numerical implementation still presents some difficulties.
- Published
- 2002