IDENTIFYING AND TRACKING OF OIL SPILLS WITH DIFFERENT TECHNIQUES

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, satellite image, Gulf of Mexico, pattern, Morphological Techniques

Abstract

In this research, comparing of six algorithms take place which results in less time consuming, oil spill
tracking, oil spill area, dark patches and spill patterns. This work helps in 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. The work determines detection of
oil spill in the ocean using satellite data with gray level masking. Here morphological closing techniques resulted as a good
tool for monitoring and identifying the occurrence of oil spill and satellite image serves as a good sensor for surveying of oil
spill. In conclusion, after comparing six algorithms, morphological technique serves as excellent method for detection of oil
spill with low time complexity.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Dr.Jerritta.S. (2018). IDENTIFYING AND TRACKING OF OIL SPILLS WITH DIFFERENT TECHNIQUES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 996–1003. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2533

Issue

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

Section

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