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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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