基于小面模型的星图中星获取算法研究

Research of Facet-Based Star Acquisition Method

利用小面模型对原始星图的局部区域作灰度曲面最佳拟合。在拟合曲面上进行灰度极大值像素点的位置估计,初步得到星图中星的中心位置,从而加速星图中星的获取过程。基于所定义的性能评价指标,对模拟星图进行了星图获取的实验验证。研究表明,该算法具有较强的适应性。

A new star extraction method, using cubic facet model to approximate locally the image intensity function, and then making decisions regarding the maximal extremum point locations on the well - fitted surface, is presented. With the possible star centers, the star acquisition procedure is speeded up. Based on the figure of merit to objectively evaluate the performance of star acquisition approach, a number of experiments are carried out for the simulated star images. The results demonstrate that the proposed method is efficient and robust.