Automatic Mexico Gulf Oil Spill Detection from Radarsat-2 SAR Satellite Data Using Genetic Algorithm

• Autorzy: Marghany M.

Identyfikatory

DOI

10.1515/acgeo-2016-0047

• Języki publikacji: EN

Abstrakty

EN

In this work, a genetic algorithm is exploited for automatic detection of oil spills of small and large size. The route is achieved using arrays of RADARSAT-2 SAR ScanSAR Narrow single beam data obtained in the Gulf of Mexico. The study shows that genetic algorithm has automatically segmented the dark spot patches related to small and large oil spill pixels. This conclusion is confirmed by the receiveroperating characteristic (ROC) curve and ground data which have been documented. The ROC curve indicates that the existence of oil slick footprints can be identified with the area under the curve between the ROC curve and the no-discrimination line of 90%, which is greater than that of other surrounding environmental features. The small oil spill sizes represented 30% of the discriminated oil spill pixels in ROC curve. In conclusion, the genetic algorithm can be used as a tool for the automatic detection of oil spills of either small or large size and the ScanSAR Narrow single beam mode serves as an excellent sensor for oil spill patterns detection and surveying in the Gulf of Mexico.

Słowa kluczowe

EN

oil spills; Gulf of Mexico; RADARSAT-2 SAR; genetic algorithm; ScanSAR Narrow Beam

PL

wycieki ropy; Zatoka Meksykańska; RADARSAT-2 SAR; algorytm genetyczny

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2016
• Tom: Vol. 64, no. 5
• Strony: 1916--1941
• Opis fizyczny: Bibliogr. 43 poz.

Twórcy

autor

Marghany M.

• Geospatial Information Science Research Centre, Faculty of Engineering, University Putra Malaysia, Serdang, Selangor, Malaysia

Bibliografia

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