Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6383871 | Deep Sea Research Part II: Topical Studies in Oceanography | 2016 | 13 Pages |
Abstract
An automatic system capable of discriminating oil spills from other similar sea surface features in Synthetic Aperture Radar images has been developed and tested. This system, called Oil Spill Automatic Detector (OSAD), was originally conceived for C-band SAR images (mostly ERS PRI) and afterward adapted to ENVISAT data. In the framework of the Progetto pilota Rilevamento Inquinamento Marino da Idrocarburi (PRIMI) national project sponsored by the Italian Space Agency, the OSAD system has been greatly improved and is now able to process L- and X-band images from various satellites as well. OSAD performance, confirmed using a different dataset of verified slicks, shows an a priori overall correct classification of 80%. Moreover, new features have been added, such as an enhanced land masking algorithm, a built-in wind and wave extraction module, and oil spill characterization. OSAD has been integrated into a complex hardware and software architecture for operational sea monitoring, alarm generation, and oil slick drift forecasting. The system׳s detection capabilities have been validated during a measurement campaign in the Mediterranean Sea. The new improved system is described herein, with special attention to latest enhancements.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Geology
Authors
Paolo Trivero, Maria Adamo, Walter Biamino, Maria Borasi, Marco Cavagnero, Giacomo De Carolis, Lorenza Di Matteo, Fabio Fontebasso, Francesco Nirchio, Francesco Tataranni,