{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T03:15:05Z","timestamp":1773890105808,"version":"3.50.1"},"reference-count":20,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,3,6]],"date-time":"2017-03-06T00:00:00Z","timestamp":1488758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs9030230","type":"journal-article","created":{"date-parts":[[2017,3,9]],"date-time":"2017-03-09T06:56:43Z","timestamp":1489042603000},"page":"230","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Fast Detection of Oil Spills and Ships Using SAR Images"],"prefix":"10.3390","volume":"9","author":[{"given":"Alberto","family":"Lupidi","sequence":"first","affiliation":[{"name":"Consorzio Nazionale Interuniversitario delle Telecomunicazioni (CNIT)-National Laboratory of Radar and Surveillance Systems (RaSS), 56124 Pisa, Italy"}]},{"given":"Daniele","family":"Staglian\u00f2","sequence":"additional","affiliation":[{"name":"Consorzio Nazionale Interuniversitario delle Telecomunicazioni (CNIT)-National Laboratory of Radar and Surveillance Systems (RaSS), 56124 Pisa, Italy"},{"name":"Department of Information Engineering, University of Pisa, 56126 Pisa, Italy"}]},{"given":"Marco","family":"Martorella","sequence":"additional","affiliation":[{"name":"Consorzio Nazionale Interuniversitario delle Telecomunicazioni (CNIT)-National Laboratory of Radar and Surveillance Systems (RaSS), 56124 Pisa, Italy"},{"name":"Department of Information Engineering, University of Pisa, 56126 Pisa, Italy"}]},{"given":"Fabrizio","family":"Berizzi","sequence":"additional","affiliation":[{"name":"Consorzio Nazionale Interuniversitario delle Telecomunicazioni (CNIT)-National Laboratory of Radar and Surveillance Systems (RaSS), 56124 Pisa, Italy"},{"name":"Department of Information Engineering, University of Pisa, 56126 Pisa, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2017,3,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1109\/LGRS.2004.835346","article-title":"Synthetic Aperture Radar oil spill segmentation by stochastic complexity minimization","volume":"1","author":"Galland","year":"2004","journal-title":"Geosci. 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