Oil slick detection in the offshore domain: evaluation of polarization-dependent SAR parameters

Angelliaume, Sebastien; Dubois-Fernandez, Pascale; Jones, Cathleen E.; Holt, Benjamin; Minchew, Brent; Amri, Emna; Miegebielle, Veronique. 2018 Oil slick detection in the offshore domain: evaluation of polarization-dependent SAR parameters. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , Valencia, Spain, July 22-27, 2018. New York, IEEE, 8096-8099.

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Remote sensing technology is an essential link in the global monitoring of the ocean surface and radars are efficient sensors for detecting marine pollution. When used operationally, a tradeoff must usually be made between the covered area and the quantity of information collected by the radar. To identify the most appropriate imaging mode, a methodology based on Receiver Operating Characteristic (ROC) curve analysis has been applied to an original dataset collected by an airborne system, SETHI, characterized by a very low instrument noise floor. The dataset was acquired during an oil spill clean-up exercise carried out in 2015 in the North Sea. Various polarization-dependent quantities are investigated and a relative ordering of the main polarimetric parameters is reported. VV offers the best tradeoff between the benefit of detection performance and the instrument and data requirements. When the sensor has a sufficiently low noise floor, HV is also recommended because it provides strong slick-sea contrast. Among all the investigated quad-polarimetric settings, no significant added value compared to single-polarized data was found.

Item Type: Publication - Book Section
ISBN: 9781538671504
Additional Keywords: SAR, radar, polarization, detection, NESZ, noise floor, noise, ocean, sea, oil, spill, slick, marine pollution, ROC curves, probability of detection, probability of false alarm
Date made live: 23 Jan 2019 09:06 +0 (UTC)

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