GreyWolfLSM: an accurate oil spill detection method based on level set method from synthetic aperture radar imagery

Oil spill detection by means of synthetic aperture radar

Università di Cagliari for the suggestions and the stimulating discussions. SAR data used in the studies. Finally, I have to thank to my family and to Raffaella: without their support all this would have never been possible.

Oil-Spill Pollution Remote Sensing by Synthetic Aperture Radar

Synthetic Aperture Radar for oil spill monitoring: a brief review

In this paper, a review of Synthetic Aperture Radar (SAR)-based techniques, for oil slick at sea observation is proposed, focusing in particular on polarimetric approaches. In fact, marine oil pollution monitoring is a topic of great applicative and scientific relevance and in such a context, among all remote sensing sensors, SAR represents a fundamental tool due to its almost all-weather and a...

Detection of Oil near Shorelines during the Deepwater Horizon Oil Spill Using Synthetic Aperture Radar (SAR)

During any marine oil spill, floating oil slicks that reach shorelines threaten a wide array of coastal habitats. To assess the presence of oil near shorelines during the Deepwater Horizon (DWH) oil spill, we scanned the library of Synthetic Aperture Radar (SAR) imagery collected during the event to determine which images intersected shorelines and appeared to contain oil. In total, 715 SAR ima...

The Object Detection Efficiency in Synthetic Aperture Radar Systems

The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and cor...