Edge Extraction of Marine Oil Spill in SAR Images

Rapid identification and detection of oil spills is significant to maintain marine environment and ecosystems, so this paper mainly researches on the edge extraction of marine oil spill in SAR images and then presents an improved algorithm based on MRoA operator and MSP-RoA operator. Because speckle noise is a large problem in SAR images since even a homogeneous area has a statistical distribution with large standard deviation, speckle filtering is firstly studied. Compared with other algorithms, experiments are taken on the SAR images about oil spill accidents of oil tanker “Prestige” and “Hebei Spirit” by the proposed algorithm, which proved much better in reservation of information and boundary as well as correctness of oil spill extraction. By the consideration of applicability and practicability of the proposed algorithm, the SAR images for the experiment include different satellites such as ENVISAT and TERRASAR, and the mode are ASAR_WS and ScanSAR respectively, so the results are more persuasive and more exactly.