COMPARISON TRACKING ALGORITHMS OF OIL SPILLS 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
  • 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:

Gulf of Mexico, tracking, satellite image, morphological technique

Abstract

This approach determines oil spills in ocean. Here five different algorithms are used to find out which 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. Main objective of doing this research is to compare algorithms to determine dark
patches, bands and tracking of oil spills in given input satellite images with less time consuming. After comparing algorithms
expectation maximization techniques act as good tools for oil spill detection and advance synthetic aperture radar image
serves as a good sensor for surveying of oil spill. In conclusion, after comparing five algorithms, expectation maximization
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, & Jerritta.S. (2018). COMPARISON TRACKING ALGORITHMS OF OIL SPILLS USING SATELLITE IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 834–841. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2505

Issue

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

Section

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