TECHNIQUES USED FOR OIL SPILL MONITORING, TRACKING AND 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:

Pattern, RADARSAT-2, Markov random field, fuzzy c mean and active contour techniques

Abstract

This research, comparing of algorithms take place which results in less time consuming, oil spill tracking, oil
spill area, dark patches and spill patterns. This approach helps to find out which algorithm is best suited for detection of oil
spill with low time complexity. This work is carried out with ASAR RADARSAT-2 image in Gulf of Mexico. The work
illustrates detection of oil spill in the ocean using satellite data. Here Markov random field, fuzzy c mean and active contour
techniques are used in which Markov random field can be used as a good tool for monitoring and identifying oil spill in
ocean and Synthetic aperture radar image serves as a good sensor for surveying of oil spill.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). TECHNIQUES USED FOR OIL SPILL MONITORING, TRACKING AND DETECTION. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 725–731. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5434

Issue

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

Section

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