Entropy Multi-Objective Evolutionary Algorithm for Oil Spill Detection from RADARSAT-2 Data

Abstract

This study has demonstrated a design tool for oil spill detection in SAR satellite data using optimization of Entropy based Multi-Objective Evolutionary Algorithm (E-MMGA) based on Pareto optimal solutions. The study also shows that optimization entropy based on Multi-Objective Evolutionary Algorithm provides an accurate pattern of oil slick in SAR data. This is shown by 85% for oil spill, 10% look–alike and 5% for sea roughness using the receiver –operational characteristics (ROC) curve. The E-MMGA also shows excellent performance in SAR data. In conclusion, E-MMGA can be used as optimization for entropy to perform an automatic detection of oil spill in SAR satellite data.