Neural networks for oil spill detection using TerraSAR-X data

Avezzano RG, Velotto D, Soccorsi M, Del Frate F, Lehner S (2011)

Publication Type: Conference contribution

Publication year: 2011

Book Volume: 8179

Conference Proceedings Title: Proceedings of SPIE - The International Society for Optical Engineering

Event location: CZE

ISBN: 9780819488060

DOI: 10.1117/12.898645

Abstract

The increased amount of available Synthetic Aperture Radar (SAR) images involves a growing workload on the operators at analysis centers. In addition, even if the operators go through extensive training to learn manual oil spill detection, they can provide different and subjective responses. Hence, the upgrade and improvements of algorithms for automatic detection that can help in screening the images and prioritizing the alarms are of great benefit. In this paper we present the potentialities of TerraSAR-X (TS-X) data and Neural Network algorithms for oil spills detection. The radar on board satellite TS-X provides X-band images with a resolution of up to 1m. Such resolution can be very effective in the monitoring of coastal areas to prevent sea oil pollution. The network input is a vector containing the values of a set of features characterizing an oil spill candidate. The network output gives the probability for the candidate to be a real oil spill. Candidates with a probability less than 50% are classified as look-alikes. The overall classification performances have been evaluated on a data set of 50 TS-X images containing more than 150 examples of certified oil spills and well-known look-alikes (e.g. low wind areas, wind shadows, biogenic films). The preliminary classification results are satisfactory with an overall detection accuracy above 80%. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Involved external institutions

Università degli Studi di Roma 'Tor Vergata' IT Italy (IT) Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center DE Germany (DE)

How to cite

APA:

Avezzano, R.G., Velotto, D., Soccorsi, M., Del Frate, F., & Lehner, S. (2011). Neural networks for oil spill detection using TerraSAR-X data. In Proceedings of SPIE - The International Society for Optical Engineering. CZE.

MLA:

Avezzano, Ruggero G., et al. "Neural networks for oil spill detection using TerraSAR-X data." Proceedings of the SAR Image Analysis, Modeling, and Techniques XI, CZE 2011.

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