IDENTIFICATION OF OIL SPILL IN 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
  • 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:

pattern, tracking, RADARSAT-2, adaptive thresholding

Abstract

In this research, comparing of algorithms take place which results in oil spill tracking, patches and spill patterns.
This work helps in regular day to day monitoring of oil spills. This approach find out which algorithm is best suited for
detection and tracking of oil spill in ocean with low time complexity. In this work input image taken from ASAR RADAR SAT2 from Gulf of Mexico region. Here Adaptive Thresholding can be used as a good tool for monitoring and identifying the
occurrence of oil spill. Adaptive thresholding helps to determine dark patches, bands and pattern for the given data set.
Adaptive is important because radar contrast depends on condition of weather for detection of dark spot, look alike and
surrounding water, which may change in investigation.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Dr. Jerritta.S. (2018). IDENTIFICATION OF OIL SPILL IN ASAR IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 952–959. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2527

Issue

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

Section

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