COMPARISON OF VARIOUS OIL SPILL DETECTION AND MONITORING ALGORITHMS

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

In this research oil spill detection techniques were used using Advance synthetic aperture radar images in
Gulf of Mexico region. Main objective of doing this research is to comparing six algorithms to determine dark patches, bands
and tracking of oil spills in given input radar images with less time consuming. This research work helps to regular monitor
oil spill area and region which help agencies for further process. After comparing algorithms morphological closing
techniques act as good tools for oil spill detection and monitoring.Morphological algorithm uses two state (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. According to
these principles criteria have been developed.

Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). COMPARISON OF VARIOUS OIL SPILL DETECTION AND MONITORING ALGORITHMS . International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 1117–1124. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2553

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