Paper
26 October 2011 The Gulf of Mexico oil rig accident: analysis by different SAR satellite images
Fabio Del Frate, Andrea Giacomini, Daniele Latini, Domenico Solimini, William J. Emery
Author Affiliations +
Proceedings Volume 8179, SAR Image Analysis, Modeling, and Techniques XI; 81790F (2011) https://doi.org/10.1117/12.898599
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic
Abstract
The management of the monitoring oil spills over the sea surface is a very important and actual task for international environmental agencies, due to the continuous risks represented by possible accidents involving either rigs or tankers. On the other hand the increase of remote sensing space missions can definitely improve our capabilities in this kind of activity. In this paper we consider the dramatic Gulf of Mexico oil spill event of 2010 to investigate on the types of information that could be provided by the available SAR images collection which included different polarizations and bands. With an eye to the implementation of fully automatic processing chains, an assessment of a novel segmentation technique based on PCNN (Pulse Coupled Neural Networks) was also carried out.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabio Del Frate, Andrea Giacomini, Daniele Latini, Domenico Solimini, and William J. Emery "The Gulf of Mexico oil rig accident: analysis by different SAR satellite images", Proc. SPIE 8179, SAR Image Analysis, Modeling, and Techniques XI, 81790F (26 October 2011); https://doi.org/10.1117/12.898599
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Cited by 4 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Polarization

Backscatter

Dielectric polarization

Image segmentation

X band

Radar

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