A Study on Oil Spill Identification Based on Backscattering of SAR Data

Oil spill pollution has seriously impacted people's life,and occupies the first place according to the frequency,the distributed span and the harm degree.Therefore,how to solve the oil spill pollution effectively and scientifically has become an important issue,and how to carry on an accurate and quick detection of oil spill is the precondition to solve the oil spill pollution.Ocean backscattering is the research bases of passive microwave quantification.Using Envisat-ASAR data,this paper calculates the backscattering and analyzes the characteristics of oil spill and looks-likes backscattering,taking object and electromagnetic wave characteristics about ocean indexes,and figuring backscattering,thus,using ▽σ0 as an index to distinguish oil spill and looks-alike.The hypothesis that ▽DN and Δμ etc.of dark patches in SAR images formed because of different reasons and will follow the Gaussian distribution with different expectations and variances,is proposed in this paper.By using this method it can erase some disturbs from ocean wave,and help identify the marine oil spill.