IDENTIFY OIL SPILL IN OCEAN USING DIFFERENT TECHNIQUES

Abstract

In this research, comparing of algorithms take place which results in oil spill tracking, less time consuming, 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 Adaptive Thresholding can be used as a good tool for
monitoring and identifying the occurrence of oil spill. Adaptive thresholding helps to determine dark patches, bands and
pattern for the given data set. Adaptive is important because radar contrast depends on condition of weather for detection of
dark spot, look alike and surrounding water, which may change in investigation. In image threshold levels depends on angle
incidence even in constant conditions in image. According to pre determined rule threshold level should changed. In mask
operation mapping from one pixel to a new one’s process take place, pixel modifies according to equation and are not
dependent on neighborhood.