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Ocean surface monitoring, especially oil slick detection, has become mandatory due to its importance for oil exploration and risk prevention on ecosystems. For years, the detection task has been performed manually by photo-interpreters using Synthetic Aperture Radar (SAR) images with the help of contextual data such as wind. This tedious manual wor...
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Context 1
... phenomenon of oil slicks on the sea surface is observed relatively often. There are two types of oil slicks: anthropogenic (spills) and natural (seeps). Fig. 1(a). illustrates a sample of both types of oil slicks. Oil slicks dampen the waves on the sea surface, thus reducing the sea surface roughness and the corresponding radar backscatter. 6 As a consequence, oil slicks appear on SAR images as dark patches contrasting with the brightness of the surrounding clean sea. 7 However, several natural ...
Context 2
... and the corresponding radar backscatter. 6 As a consequence, oil slicks appear on SAR images as dark patches contrasting with the brightness of the surrounding clean sea. 7 However, several natural phenomena (algal blooms, currents and areas of low wind), called lookalikes, can generate similar areas of low back-scattering areas, as shown in Fig. 1(b). These lookalikes are therefore known to cause false alarms. State of the art on oil slick detection is rich, we provide a brief classification of the approaches relying on the surveys proposed by Brekke et al. 2 and Alpers et al.: 7 1. Entirely manual inspection, where photo-interpreters are trained to detect and characterize oil ...
Context 3
... phenomenon of oil slicks on the sea surface is observed relatively often. There are two types of oil slicks: anthropogenic (spills) and natural (seeps). Fig. 1(a). illustrates a sample of both types of oil slicks. Oil slicks dampen the waves on the sea surface, thus reducing the sea surface roughness and the corresponding radar backscatter. 6 As a consequence, oil slicks appear on SAR images as dark patches contrasting with the brightness of the surrounding clean sea. 7 However, several natural ...
Context 4
... and the corresponding radar backscatter. 6 As a consequence, oil slicks appear on SAR images as dark patches contrasting with the brightness of the surrounding clean sea. 7 However, several natural phenomena (algal blooms, currents and areas of low wind), called lookalikes, can generate similar areas of low back-scattering areas, as shown in Fig. 1(b). These lookalikes are therefore known to cause false alarms. State of the art on oil slick detection is rich, we provide a brief classification of the approaches relying on the surveys proposed by Brekke et al. 2 and Alpers et al.: 7 1. Entirely manual inspection, where photo-interpreters are trained to detect and characterize oil ...
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Ocean surface monitoring, emphasizing oil slick detection, has become essential due to its importance for oil exploration and ecosystem risk prevention. Automation is now mandatory since the manual annotation process of oil by photo-interpreters is time-consuming and cannot process the data collected continuously by the available spaceborne sensors...
