VARIOUS OIL SPILL TRACKING & DETECTION ALGORITHMS USING RADAR IMAGES

Abstract

Oil spill is one of the biggest issues for marine life. In this research, this paper evaluate various oil spill
tracking & detection algorithms using radar images which helps to regular monitoring and detection of oil spill in the ocean.
This approach helps to find out which algorithm is best suited for detection of oil spill with low time complexity. This work is
carried out using ASAR RADARSAT-2 image, which is capture from Gulf of Mexico region. The work illustrate detection of
oil spill in the ocean using satellite data with gray level masking, prepared with slick-relevant structure extracted by the
algorithm with less time consuming. 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.