EXPECTATION MAXIMIZATION TECHNIQUE FOR OIL SPILL DETECTION

Authors

  • Mukta Jagdish Research Scholar, Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science Technology &Advanced Studies (VISTAS), Vels University, Chennai, TN, India.
  • Jerritta.S Research Supervisor, Associate Professor (Electronics and Communication Engineering), School of Engineering, Vels Institute of Science Technology &Advanced Studies (VISTAS), Vels University, Chennai, TN, India

Keywords:

Oil spill, Gulf of Mexico, pattern, tracking, statistical mode, area of oil spill

Abstract

This research aims to detect and monitor oil spills using expectation maximization technique using advance
synthetic aperture radar images in Gulf of Mexico. In ever year oil spill accident take place in history it was on the Gulf of
Mexico in Deepwater Horizon on April, 20, 2010, with explosion in July 15, 2010. It effected on wildlife habitats and
maritime spices. To overcome this problem radar image was used for regular monitoring which improves over all oil spill
problems by various approaches. Main objective is to regular monitor spills in ocean with faster information gathering and
assessment programs. This research was conducted to find out oil spill pattern, patches and tracking spills in particular
areas. In expectation maximization algorithm it helps to determine maximum likelihood parameter of statistical model and
helps to find missing values exist on object.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). EXPECTATION MAXIMIZATION TECHNIQUE FOR OIL SPILL DETECTION. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 842–846. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2507

Issue

Vol. 5 No. 2 (2018): Volume 5 Issue 2 February 2018

Section

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