ANALYSIS AND DETECTION OF OIL SPILL IN OCEAN USING ASAR 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:

Oil spill, Morphological Techniques, pattern, tracking

Abstract

Here different techniques 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 morphological closing 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, morphological technique serves as excellent method for detection of oil spill
with low time complexity.

Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). ANALYSIS AND DETECTION OF OIL SPILL IN OCEAN USING ASAR IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 910–916. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2521

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