title: Utilization of a genetic algorithm for the automatic detection of oil spill from RADARSAT-2 SAR satellite data.
abstract: In this work, a genetic algorithm is applied for the automatic detection of oil spills. The procedure is implemented using sequences from RADARSAT-2 SAR ScanSAR Narrow single-beam data acquired in the Gulf of Mexico. The study demonstrates that the implementation of crossover allows for the generation of an accurate oil spill pattern. This conclusion is confirmed by the receiver-operating characteristic (ROC) curve. The ROC curve indicates that the existence of oil slick footprints can be identified using the area between the ROC curve and the no-discrimination line of 90%, which is greater than that of other surrounding environmental features. In conclusion, the genetic algorithm can be used as a tool for the automatic detection of oil spills, and the ScanSAR Narrow single-beam mode serves as an excellent sensor for oil spill detection and survey.
authors.affiliation: Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor Bahru, Malaysia. Electronic address: maged@utm.my.
authors.forename: Maged
authors.initials: M
authors.lastname: Marghany
mesh_terms: D000465:Algorithms; D004784:Environmental Monitoring / Q000379:methods*; D060851:Gulf of America; D008956:Models, Chemical; D059392:Petroleum Pollution / Q000032:analysis*; D012372:ROC Curve; D012984:Software; D014874:Water Pollutants, Chemical / Q000737:chemistry*
chemical_list: D014874:Water Pollutants, Chemical
keywords: Genetic algorithm; Gulf of Mexico; Oil spills; RADARSAT-2 SAR; ScanSAR Narrow Beam