Cosmo-skymed for Automatic Detection of Oil Spill Using on Multi-objective Evolutionary Algorithm along Gulf of Thailand
نویسنده
چکیده
ABSTRACT: Oil spill pollution has a substantial role in damaging the marine ecosystem. Oil spill that floats on top of water, as well as decreasing the fauna populations, affects the food chain in the ecosystem. In fact, oil spill is reducing the sunlight penetrates the water, limiting the photosynthesis of marine plants and phytoplankton. Moreover, marine mammals for instance, disclosed to oil spills their insulating capacities are reduced, and so making them more vulnerable to temperature variations and much less buoyant in the seawater. Objective: This study has demonstrated a design tool for oil spill detection in COSMO-SkyMed satellite data using Methods: Multi-Objective Evolutionary Algorithm which based on Pareto optimal solutions. The COSMO-SkyMed along the Gulf of Thailand is involved in this study. Results: The study also shows that Multi-Objective Evolutionary Algorithm provides an accurate pattern of oil slick in COSMO-SkyMed data. This shown by 96% for oil spill, 1% look–alike and 3% for sea roughness using the receiver –operational characteristics (ROC) curve. The MOGA also shows excellent performance in COSMO-SkyMed data. Conclusion: In conclusion, Multi-Objective Evolutionary Algorithm can be used as an automatic detection tool for oil spill in COSMO-SkyMed satellite data.
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