COMPARING OIL SPILL DETECTION AND MONITORING TECHNIQUES 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
  • 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:

oil spill tracking, pattern, morphological techniques, radar image

Abstract

Every year problem arrives due to oil spills in ocean. In this research, comparing of algorithms take place which
results in less time consuming, oil spill tracking, oil spill area, patches and spill patterns. This work helps in regular
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 SAT-2 from Gulf of Mexico region. Here
morphological closing techniques can be used as a good tool for monitoring and identifying the occurrence of oil spill and
Synthetic aperture radar image serves as a good sensor for surveying of oil spill. In conclusion, after comparing algorithms,
morphological technique serves as excellent method for detection of oil spill with low time complexity

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Published

2018-02-25

How to Cite

Mukta Jagdish, & Dr. Jerritta.S. (2018). COMPARING OIL SPILL DETECTION AND MONITORING TECHNIQUES USING ASAR IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 5(2), 760–776. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2484

Issue

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

Section

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