K-MEAN CLUSTERING ALGORITHM FOR OIL SPILL MONITORING 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
  • 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

Here k-mean clustering algorithm is used for oil spill monitoring and detection. As we know oil spill is a
biggest issue in marine environment which effect marine life cycle. In this research K- mean clustering algorithm take place
which results in less time consuming, oil spill tracking, oil spill area, dark patches and oil spill patterns. This work is carried
out using ASAR RADARSAT-2 image, which is capture from Gulf of Mexico region. The work illustrates detection of oil spill
in the ocean using satellite with less time consuming. Here k- mean clustering 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). K-MEAN CLUSTERING ALGORITHM FOR OIL SPILL MONITORING AND DETECTION. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 573–577. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2722

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