IDENTIFYING AND TRACKING OIL SPILL BY COMPARING ALGORITHMS 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:

Oil spill, pattern, ASAR RADARSAT-2, Morphological Techniques

Abstract

This research perform detection of oil spill by comparing adaptive thresholding , morphological closing
techniques and histogram based segmentation which results in less time consuming, oil spill tracking, oil spill area, dark
patches and spill patterns. This work helps to regular monitoring of oil in the ocean. This approach helps to find out which
algorithm is best suited for detection of oil spill and tracking. This work is carried out using ASAR RADARSAT-2 image. In
this research three images was captured and monitored for oil spill detection. These images belong to different days, angles
and polarization. By comparing these algorithms it results morphological closing techniques is best suited for analysing oil
spill in ASAR images.

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Jerritta.S. (2018). IDENTIFYING AND TRACKING OIL SPILL BY COMPARING ALGORITHMS USING SATELLITE IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 1036–1041. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2538

Issue

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

Section

Articles

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