COMPARISON TECHNIQUE IN OIL SPILL ANALYZING USING REMOTE SENSING

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:

Oil spill, pattern, tracking, Expectation maximization Techniques

Abstract

Oil tanker collided in Gulf of Mexico on 27 April 2010 and spilled 3000 tons of oils in sea. The objective of doing
this research work is to develop an oil spill detection techniques using Advance synthetic aperture radar images. Here three
images were taken to observe the differences, patches, area and pattern of oil spills in Gulf of Mexico region. This research
compares algorithms and find out which suited best for detection and monitoring of oil spills in ocean. After comparing
algorithms, Expectation maximization is best suited for oil spill detection with less time consuming and ASAR play good
sensors for research and development.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Dr. Jerritta.S. (2018). COMPARISON TECHNIQUE IN OIL SPILL ANALYZING USING REMOTE SENSING. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 917–923. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2522

Issue

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

Section

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