FN Archimer Export Format PT J TI Partially supervised oil-slick detection by SAR imagery using kernel expansion BT AF MERCIER, Grégoire ARDHUIN, Fanny AS 1:1;2:2,3; FF 1:;2:PDG-DOP-DCB-OPS-LOS; C1 Ecole Natl Super Telecommun Bretagne, ITI Dept, CNRS, UMR 2872,TAMCIC,TIME Team, F-29238 Brest, France. CNES, F-75001 Paris, France. IFREMER, DOPS, LOS, F-29280 Plouzane, France. C2 TELECOM BRETAGNE, FRANCE CNES, FRANCE IFREMER, FRANCE SI BREST SE PDG-DOP-DCB-OPS-LOS IN WOS Ifremer jusqu'en 2018 copubli-france IF 1.752 TC 62 UR https://archimer.ifremer.fr/doc/2006/publication-1948.pdf LA English DT Article DE ;Water pollution;Synthetic aperture radar;Sea surface;Satellite applications;Oil spill;Image analysis AB Spaceborne synthetic aperture radar (SAR) is well adapted to detect ocean pollution independently from daily or weather conditions. In fact, oil slicks have a specific impact on ocean wave spectra. Initial wave spectra may be characterized by three kinds of waves, namely big, medium, and small, which correspond physically to gravity and gravity-capillary waves. The increase of viscosity, due to the presence of oil damps gravity-capillary waves. This induces not only a damping of the backscattering to the sensor but also a damping of the energy of the wave spectra. Thus, local segmentation of wave spectra may be achieved by the segmentation of a multiscale decomposition of the original SAR image. In this paper, a semisupervised oil-slick detection is proposed by using a kernel-based abnormal detection into the wavelet decomposition of a SAR image. It performs accurate detection with no consideration to signal stationarity nor to the presence of strong backscatters (such as a ship). The algorithm has been applied on ENVISAT Advanced SAR images. It yields accurate segmentation results even for small slicks, with a very limited number of false alarms. PY 2006 PD OCT SO IEEE Transactions on Geoscience and Remote Sensing SN 0196-2892 PU IEEE Geoscience and Remote Sensing Society VL 44 IS 10 UT 000240881000022 BP 2839 EP 2846 DI 10.1109/TGRS.2006.881078 ID 1948 ER EF