Title | ||
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Generalized Gamma Distribution Sar Sea Clutter Modelling For Oil Spill Candidates Detection |
Abstract | ||
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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. |
Year | DOI | Venue |
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2019 | 10.23919/EUSIPCO.2019.8903047 | 2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) |
Keywords | Field | DocType |
SAR, Oil Spill, Generalized Gamma Distribution, Radar Detection | Signal processing,Clutter,Synthetic aperture radar,Backscatter,Remote sensing,Pixel,Earth observation,Thresholding,Geology,Generalized gamma distribution | Conference |
ISSN | Citations | PageRank |
2076-1465 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mari-Cortes Benito-Ortiz | 1 | 0 | 0.34 |
David de la Mata-Moya | 2 | 52 | 12.99 |
María-Pilar Jarabo-Amores | 3 | 0 | 0.34 |
Nerea del-Rey-Maestre | 4 | 0 | 0.34 |
Pedro-Jose Gomez-del-Hoyo | 5 | 0 | 0.34 |