Development of satellite optical sensors data processing system content based oil spill detection using 2D DWT

Abstract

quotIllegal oil spill discharges have an effect on the marine ecosystem seriously. Synthetic Aperture Radar (SAR) images are significantly used for the detection of oil spills in the marine environment, because of its high tolerance and efficiency towards local weather conditions and cloudiness. In this research work proposed 2-D discrete wavelet transform with texture for oil spill detection. Our proposed method uses 2-D Discrete Wavelet newlineTransform for reducing the Dimensions of test image and trained images. Further gray level co-occurrence matrix is applied for all test and trained images of LL components of level 2 decomposed images to extract the texture feature of the images. Then similar images are retrieved by using Euclidean distance method on which further processing the spilled areas are detected. The algorithm is trained using a large number of Synthetic Aperture Radar (SAR) images. Simulation results are done by using MATLAB and high newlinedetection rates for the oil spills for various images have been achieved. newlinequot newline newline