摘要
大尺寸CCD星图快速处理是制约天文导航系统的关键因素之一,而星图中星的提取又是星图识别的前提。在分析星图模糊退化模型的基础上,通过图像系统识别方法求解PSF函数,进而在频域内完成模糊图像的恢复。本文采用维纳滤波的方法对匀速运动、振动和高斯噪声造成模糊的星图进行了仿真和复原,从仿真结果可以看出,通过滤波处理,模糊的星图得到了很好的复原,为星图中星质心的提取以及后续的星图识别奠定了基础。
Rapid processing of large scale CCD star image is one of the key techniques for Celestial Navigation System （CNS）. And star acquisition in star image is the precondition of the stellar map identification. In this paper, the degradation model of star image is analyzed, and then PSF is worked out by image system identification so that the motion blur star image is restored im frequency domain. The method of Weiner filter is adopted to deal with the blur image by uniform velocity, vibration and Guassion noise. Form the simulation we can see that the blur star image is restored primely, which is the base of extraction of star centroid and stellar map identification.
出处
《微计算机信息》
北大核心
2008年第33期296-297,291,共3页
Control & Automation
基金
装备预研项目(编号不公开)
