RESEARCH ORIENTED FOSS SOLUTION FOR AUTOMATIC OIL SPILL DETECTION USING RISAT-1 SAR DATA

Oil spill is a growing threat to marine eco-system, and it continues to grow with the growing marine traffic. Intentional or accidental oil discharges in the ocean are not limited to endangering marine eco-system but also coastal zones where the accumulated oil spill reaches as remains in form of tar. Automation of oil spill detection is challenging from SAR data. It is also surveyed that free and open source software (FOSS) solution for oceanographic applications is rare but essential for the scientists who are working in this area. Proposed FOSS framework also provides flexibility to apply standard data processing algorithms for the SAR data processing. In this paper, proposed FOSS framework to process C band RISAT-1 SAR data is described. This paper also provides the comparative study on shortcomings of the widely accepted tools for oil spill detection. The experimental results of super-pixel based segmentation technique for dark spot detection are described using proposed FOSS framework.