ALGORITHMS USED FOR OIL SPILL MONITORING AND DETECTION 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:

Oil spill, Gulf of Mexico, pattern, tracking, ASAR RADARSAT-2

Abstract

Coastal zones are the most inhabited area of the world and it  affected by humans and natural disaster. In
order to evaluate these changes an effective monitoring system for ocean zone must be place. In this research, comparing of
algorithms take place which results in less time consuming, oil spill tracking, oil spill area, dark patches and spill patterns. It
helps in regular monitoring and detection of oil spill in the sea. 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. In conclusion, morphological closing techniques can be used as a good tool for
monitoring and identifying the occurrence of oil spill.

Published

2018-03-25

How to Cite

Mukta Jagdish, & Dr. Jerritta.S. (2018). ALGORITHMS USED FOR OIL SPILL MONITORING AND DETECTION USING SATELLITE IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 530–538. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2717

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