OIL SPILL MONITORING AND RESPONSE TECHNIQUES USING ASAR RADAR 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
  • 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, tracking, RADARSAT-2, Markov random field, fuzzy c mean

Abstract

This research aim find out oil spill in ocean using satellite image which helps in regular monitoring of sea.
Here comparing of Markov random fields and fuzzy c mean techniques are used to find out 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 using ASAR RADARSAT-2 image, which is
capture from Gulf of Mexico region. After analysing both algorithm it results that Markov random field is more suitable for
detection of oil spill with less time duration using radar images than Fuzzy c mean algorithm.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). OIL SPILL MONITORING AND RESPONSE TECHNIQUES USING ASAR RADAR IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 1019–1023. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/5440

Issue

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

Section

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