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本文针对星点成像中的过饱和现象,分析了星像点的点扩散函数(PSF)特性,建立了过饱和星像点能量分布模型,提出了一种过饱和星像点PSF相关算法。该算法首先确定与星像点目标区域相似度最好的PSF序列,通过找到该序列的最大值进行定位。仿真实验表明:在星像点有噪声的条件下,PSF相关法的定位误差低至0.05 pixel;在非对称PSF条件下,定位误差依然小于0.1 pixel,均比传统的质心法、曲面拟合等方法的定位精度高。
In this paper, according to the phenomenon of supersaturation in star imaging, the point spread function (PSF) characteristic of star point is analyzed. The supersaturated star point energy distribution model is established and a supersaturated star point PSF correlation algorithm is proposed. The algorithm first determines the PSF sequence with the best similarity to the target area of the star point and locates it by finding the maximum value of the sequence. The simulation results show that the position error of the PSF correlation method is as low as 0.05 pixel under the condition of star point noise. The positioning error is still less than 0.1 pixel under the asymmetric PSF condition, both of which are better than the traditional centroid method and surface fitting method The method has high positioning accuracy.