K-MEAN CLUSTERING ALGORITHM FOR OIL SPILL MONITORING AND DETECTION
Keywords:
Oil spill, Gulf of Mexico, pattern, tracking, ASAR RADARSAT-2Abstract
Here k-mean clustering algorithm is used for oil spill monitoring and detection. As we know oil spill is a
biggest issue in marine environment which effect marine life cycle. In this research K- mean clustering algorithm take place
which results in less time consuming, oil spill tracking, oil spill area, dark patches and oil spill patterns. This work is carried
out using ASAR RADARSAT-2 image, which is capture from Gulf of Mexico region. The work illustrates detection of oil spill
in the ocean using satellite with less time consuming. Here k- mean clustering techniques can be used as a good tool for
monitoring and identifying the occurrence of oil spill.