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Marine oil spill detection method research based on Envisat ASAR images

机译:基于Envisat ASAR图像的海上溢油检测方法研究

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Now, as an increasing number of marine oil spill accidents, marine oil spill detection research has received national attention. This paper describes the method of the Envisat ASAR SAR data detection oil spill information, the pre-processing and post-processing of Envisat ASAR date. In the pre-processing, we have achieved absolute calibration processing; geometric precision correction based on ground control points and enhanced LEE filter processing. In the oil spill information extraction phase we use manual threshold segmentation, automatic threshold segmentation and CFAR detection method for extraction of oil spills area. Test results show that the methods used to achieve good extraction effect.
机译:现在,随着海洋溢油事故的增多,海洋溢油检测研究受到了国家的关注。本文介绍了Envisat ASAR SAR数据探测漏油信息的方法,Envisat ASAR数据的预处理和后处理。在预处理中,我们实现了绝对校准处理;基于地面控制点的几何精度校正和增强的LEE滤波器处理。在溢油信息提取阶段,我们使用手动阈值分割,自动阈值分割和CFAR检测方法提取溢油区域。试验结果表明,所采用的方法均能达到良好的提取效果。

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