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Le Caillec, Jm; Garello, R; Chapron, Bertrand. |
In this paper, the synthetic aperture radar (SAR) process of the ocean surface mapping is studied using a decomposition based on a Volterra model. By a mathematical expansion of the complex exponential of the complete SAR transform, these models decompose the nonlinear distortion mechanisms of the SAR spectrum over different spectra of polynomial interactions. Thus, they offer an alternative modeling (to the exact SAR transform) giving a theoretical separation between the SAR Fourier components linearly derived from the sea surface elevation and the artifacts created by nonlinearities of. the SAR mapping of the. ocean surface. The main results of this paper consist of the systematic assessment of such an approximation of the ocean surface SAR imaging... |
Tipo: Text |
Palavras-chave: Higher order statistics; Radar mapping; SAR; Sea surface; Volterra models. |
Ano: 2002 |
URL: http://archimer.ifremer.fr/doc/00000/10606/9500.pdf |
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Ardhuin, Fanny; Mercier, G; Collard, F; Garello, R. |
A methodology is proposed for the semiautomatic detection, characterization, and classification of slicks detected in C-band Synthetic Aperture Radar (SAR). For the first detection step, automatic algorithms were tested on Environmental Research Satellite (ERS) and Environmental Satellite (EnviSat) images acquired during the Prestige tanker accident. These tests reveal that simple filter or segmentation methods efficiently detect slicks with high contrasts and simple shapes, while a new and more complex multiscale method is able to detect a wider range of slicks. The characteristics of automatically detected slicks are then combined with meteooceanic data in order to eliminate slicks related to wind anomalies and current fronts. The data suggest that... |
Tipo: Text |
Palavras-chave: Synthetic aperture radar SAR; Satellite measurement; Oil pollution; Image analysis. |
Ano: 2005 |
URL: http://archimer.ifremer.fr/doc/2005/publication-1132.pdf |
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