ADVANCE SYNTHETIC APERTURE RADAR IMAGE USED FOR OIL SPILL DETECTION IN OCEANIC WORLD

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, Gulf of Mexico, pattern, tracking, ASAR RADARSAT-2, Morphological Techniques

Abstract

This paper contain comparing of six algorithms, which results in less time consuming, oil spill tracking, oil
spill area, dark patches and spill patterns. This approach helps to find out which algorithm is best suited for detection of spill
with low time complexity. Image captured from of Gulf of Mexico region using ASAR RADARSAT-2. In conclusion, after
comparing six algorithms, morphological technique serves as excellent method for detection of oil spill with low time
complexity. Morphological closing operation is based on the structure analysis, in which some components are selected
among all, which satisfy Gestalt principles such as (1) Proximity state that two objects are easier regard as a single object by
a human being if those objects are close to each other. (2) Good continuation states that objects are easier regard as a single
object if they can be continued from one to other.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). ADVANCE SYNTHETIC APERTURE RADAR IMAGE USED FOR OIL SPILL DETECTION IN OCEANIC WORLD. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 960–967. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2528

Issue

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

Section

Articles

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