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- W2983758826 abstract "This paper tackles the oil spills offshore monitoring using satellite Earth Observation tools based on Synthetic Aperture Radar (SAR) sensors. The proposed processing scheme is based on modelling SAR sea backscattering assuming a Generalized Gamma Distribution clutter. The signal processing scheme includes a first stage to define the non-homogeneous area due to the presence of dark spots in function of the multi-scale estimations of a textural parameter defined as the inverse of the product between shape and scale sea clutter parameters. After an statistical study of this parameter, a robust value can be defined for comparison purposes. In the resulted search area, an adaptive thresholding is performed to obtain a segmented image with the oil slicks candidates contouring at pixel level. Results obtained with SAR images acquired by Sentinel-1 over Corsica, confirm the suitability of the proposed methodology." @default.
- W2983758826 created "2019-11-22" @default.
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- W2983758826 date "2019-09-01" @default.
- W2983758826 modified "2023-09-26" @default.
- W2983758826 title "Generalized Gamma Distribution SAR Sea Clutter Modelling for Oil Spill Candidates Detection" @default.
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- W2983758826 doi "https://doi.org/10.23919/eusipco.2019.8903047" @default.
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