OIL SLICK SPOT DETECTION USING K-DISTRIBUTION MODEL OF THE SEA BACKGROUND

摘要

A new method is proposed to get the segmentation threshold and detect the dark spot in oil-spill images. The method is inspired from the κ-distribution model of sea background, which is widely accepted to describe the ocean clutter. By comparing the histograms of oil-spill region and the sea background, it is found that the oil slicks break the κ-distribution model, but there is still some information unchanged - the relative probability ratios among the pixel values in 95%～99% CDF extent, which is used to deduce the original κ-distribution model. Finally, the intersection of the original histogram of the oil spill image and the deduced sea background PDF is selected to be the threshold. Experiment in RADARSAT-2 image shows the effectiveness of the method.