摘要
利用海洋水色卫星遥感图像获得高分辨率海洋表层流场变化信息,不但可应用于物理海洋学研究,同时可以实现中小尺度海战场环境的近实时预报。详细介绍了利用海洋水色卫星遥感图像进行近实时全球海洋表层流场估算的基本方法,以及在分析海洋表层流场中的应用,并通过分析实例说明了该方法的可靠性。
The velocity map of sea surface currents can be obtained by analyzing the high-resolution remote sensing images from the ocean color satellite, which is not only very helpful in the research of physical oceanography, but can achieve the near real-time mesoscale and sub-mesoscale ocean environment prediction as well. This paper introduces the methods for estimating near real-time global sea surface currents with ocean color satellite images in a detailed way, including the data source and processing algorithms, as well as analyzes their applications in the estimation of the velocity map of sea surface currents. To validate the reliability of proposed methods, satellite-derived sea surface currents are estimated by the modified maximum cross-correlation method and the optical flow algorithm.
出处
《海洋技术学报》
2015年第6期1-5,共5页
Journal of Ocean Technology
关键词
SST
水色数据
海洋表层流场
最大互相关方法
光流算法
SST
ocean color image
sea surface currents
maximum cross-correlation method
optical flow algorithm