基于小面模型的星图中星获取算法研究  

Research of Facet-Based Star Acquisition Method

作　　者：田金文[1] 郑胜[1] 田玉龙[1] 柳健[1] 

机构地区：[1]华中科技大学图像信息处理与智能控制教育部重点实验室,武汉430074

出　　处：《宇航学报》2005年第B10期83-86,共4页Journal of Astronautics

基　　金："十五"民用航天项目(20020112)

摘　　要：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.

关 键 词：星敏感器 图中星的获取 小面模型 性能评价 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]