A Novel Multi-level Segmentation Method on Oil Spill of SAR Image

Using SAR to monitor oil spill is a useful method. As the performance of oil spill on SAR images is similar with other oceanic phenomenon, it is difficult to distinguish between oil spill and "look-alikes". This paper presents a novel multi-level method to extract the oil film from original SAR image. The method can retain original edge information of oil film while separated it from the background. This paper applied lee filter, fuzzy c means, coherence filter and morphological operations to de-noise and segment SAR image. Experimental results show that the method can not only distinguish oil film and the sea, but revert part of edge information lost in the process of de-noising and the segmentation.