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Title: Evaluation of various oil spill detection and tracking algorithms using satellite images
Authors: Mukta Jagdish, Jerritta S.
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2018
Volume: 13
Issue: 15
Language: English
As we know oil spill is a biggest issue in marine environment which effect marine life cycle. In this research, comparing of algorithms take place which results in less time consuming, oil spill tracking, oil spill area, dark patches and spill patterns. This work helps to regular day to day 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. In conclusion, after comparing eight algorithms, morphological technique serves as excellent method for detection of oil spill with low time complexity.
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