MONITORING OIL SPILL IN OCEAN USING SATELLITE IMAGES

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
  • Dr. 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:

tracking, ASAR RADARSAT-2, Expectation maximization, oil spill

Abstract

In this research, comparing of three algorithms take place which results in less time consuming, oil spill
tracking, oil spill area, spill patterns and dark patches. This approach helps to find out which algorithm is best suited for
detection of oil spill. This work is carried out using ASAR RADARSAT-2 image, which is capture from Gulf of Mexico region.
Here after comparing Expectation maximization can be used as a good tool for identifying the occurrence of oil spill and
ASAR images serves as a good sensor for monitoring oil spill. In conclusion, after comparing algorithms, Expectation
maximization serves as excellent method for detection of oil spill with low time complexity

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Dr. Jerritta.S. (2018). MONITORING OIL SPILL IN OCEAN USING SATELLITE IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 990–995. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/2532

Issue

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

Section

Articles

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