In this approach a morphological closing techniques is used which solve the problem of oil spills detection in the ocean. As we know marine species face biggest issue of oil spill to solve this issue a morphological closing method is applied for Monitoring and identifying the occurrence of oil spill in the ocean using satellite image for disaster mitigation. This research work is carried out using SAR RADARSAT-2 image, which is capture from Gulf of Mexico. 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. In conclusion, morphological closing techniques can be used as a tool for monitoring and identifying the occurrence of oil spill and Synthetic aperture radar image serves as a good sensor for detection and surveying of oil spill. The performance shows the resulting grey level mask containing structure of the slick with levels of gray corresponding to less damp / most damped sea surface roughness.
Author (s) Details
Dr. Mukta Jagdish,
Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science Technology & Advanced Studies (VISTAS), Vels University, Chennai, Tamil Nadu, India.
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