Oil spill discrimination of multi-time-domain shipborne radar images using active contour model

Geoscience Letters

Can Cui¹  Bo Li²  Juan Fei³  Xinxiang Pan⁴  Baozhu Jia⁴  Jin Xu⁴  Haixia Wang⁵  Xuerui Wu⁶ 

[1] Civil Aviation College, Shenyang Aerospace University, Shenyang, Liaoning, China;Continuing Education College, Guangdong Ocean University, Zhanjiang, Guangdong, China;Information Engineering College, Lingnan Normal University, Zhanjiang, Guangdong, China;Maritime College, Guangdong Ocean University, Zhanjiang, Guangdong, China;Navigation College, Dalian Maritime University, Dalian, Liaoning, China;School of Resources, Environment and Architectural Engineering, Chifeng University, Chifeng, Inner Mongolia, China;Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China;Shanghai Key Laboratory of Space Navigation and Positioning Techniques, Shanghai, China;

关键词: Oil spill;    Shipborne radar;    Active contour model;    Multi-time-domain;   

DOI  :  10.1186/s40562-021-00178-8

来源: Springer

【 摘 要 】

Accidental oil spills cause serious pollution to the ocean and are difficult to control in short time. It is an important guarantee for emergency disposal to effectively monitor oil spills. Remote sensing is the main means to monitor oil spills. High false alarm rate has been an important bottleneck of this technology. In this paper, a multi-time-domain shipborne radar images discrimination mechanism was proposed. Based on the improved Sobel operator, Otsu and linear interpolation, the co-frequency interference noises were detected and suppressed. Gray intensity correction model (GICM) and dual-threshold method were used to eliminate highlighted continuous pixels. Oil films were extracted by using an active contour model (ACM). Finally, a multi-time-domain discrimination mechanism based on variation range tolerance of identified oil films centroids was designed to reduce the false alarm rate. It can provide technical support for decision-making and emergency response.

【 授权许可】

CC BY