Genetic algorithm for oil spill automatic detection using synthetic aperture radar

Abstract

This work has exploited a Genetic algorithm for oil spill automatic detection. This is implemented to sequences of RADARSAT-2 SAR ScanSAR narrow single beam data in the Gulf of Mexico. The study shows that the implementation of crossover is generated an accurate oil slick pattern. This is confirmed by using the receiver–operational characteristics (ROC) curve. The ROC curve endorses the existence of oil slick footprints with 90%, which is larger than other surrounding environment features. It can be pronounced that ScanSAR Narrow single beam is the tremendous promise sensor for oil spill detection and survey. In conclusion, the Genetic Algorithm can be used as an automatic detection tool for oil spill.