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Open AccessArticle

Fast Detection of Oil Spills and Ships Using SAR Images

1
Consorzio Nazionale Interuniversitario delle Telecomunicazioni (CNIT)-National Laboratory of Radar and Surveillance Systems (RaSS), 56124 Pisa, Italy
2
Department of Information Engineering, University of Pisa, 56126 Pisa, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Ira Leifer, Elijah Ramsey, Bill Lehr, Xiaofeng Li and Prasad S. Thenkabail
Remote Sens. 2017, 9(3), 230; https://doi.org/10.3390/rs9030230
Received: 29 October 2016 / Revised: 21 February 2017 / Accepted: 1 March 2017 / Published: 6 March 2017
In this paper, we show the capabilities of a new maritime control system based on the processing of COSMO-SkyMed Synthetic Aperture Radar (SAR) images. This system aims at fast detection of ships that may be responsible for illegal oil dumping. In particular, a novel detection algorithm based on the joint use of the significance parameter, wavelet correlator and a two-dimensional Constant False Alarm Rate (2D-CFAR) is designed. Results show the effectiveness of such algorithms, which can be used by the maritime authorities to have a faster although still reliable response. The proposed algorithm, together with the short revisit time of the COSMO-SkyMed constellation, can help with tracking the scenario evolution from one acquisition to the next. View Full-Text
Keywords: oil spill; CFAR; ship detection; fast; early warning; maritime surveillance oil spill; CFAR; ship detection; fast; early warning; maritime surveillance
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MDPI and ACS Style

Lupidi, A.; Staglianò, D.; Martorella, M.; Berizzi, F. Fast Detection of Oil Spills and Ships Using SAR Images. Remote Sens. 2017, 9, 230.

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