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Multi-objective Entropy Evolutionary Algorithm for Marine Oil Spill Detection Using Cosmo-skymed Satellite Data : Volume 12, Issue 3 (25/06/2015)

By Marghany, M.

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Book Id: WPLBN0004020858
Format Type: PDF Article :
File Size: Pages 27
Reproduction Date: 2015

Title: Multi-objective Entropy Evolutionary Algorithm for Marine Oil Spill Detection Using Cosmo-skymed Satellite Data : Volume 12, Issue 3 (25/06/2015)  
Author: Marghany, M.
Volume: Vol. 12, Issue 3
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Marghany, M. (2015). Multi-objective Entropy Evolutionary Algorithm for Marine Oil Spill Detection Using Cosmo-skymed Satellite Data : Volume 12, Issue 3 (25/06/2015). Retrieved from

Description: Geoscience {&} Digital Earth Center, Research Institute for Sustainability & Environment, Universiti Teknologi Malaysia, 81310 Skudai, UTM, Johor, Malaysia. 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. 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) which based on Pareto optimal solutions. The study also shows that optimization entropy based Multi-Objective Evolutionary Algorithm provides an accurate pattern of oil slick in SAR data. This 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.

Multi-objective entropy evolutionary algorithm for marine oil spill detection using cosmo-skymed satellite data

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