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数字星空图像是星敏感器加工处理的对象,其特点与目标和目标所在星空区域、图像传感器的光谱响应特性,以及捕获图像时的工作条件等有关。选择合适的背景阈值,是正确识别星点的基础。在分析总结数字星空图像基本特点的基础上,根据数理统计和误差分析理论,提出一种背景阈值确定方法,又根据星敏感器光电探测过程中的物理模型,提出因果关系法确定背景阈值的技术路线。依据特定方案星敏感器的试验结果表明,采用因果关系法确定的背景阈值,能很好地将数字星空图像中的背景和星点区分开来,确保了系统对目标星点的正确识别,并且具有更好的实时性。
The digital star image is the object of the star sensor processing and its characteristics are related to the target and the star area where the target is located, the spectral response characteristics of the image sensor, and the working conditions when capturing the image. Choosing the appropriate background threshold is the basis for correctly identifying the star. Based on the analysis of the basic characteristics of digital satellite imagery, a method of background threshold determination based on mathematical statistics and error analysis is proposed. According to the physical model of star sensor photoelectric detection, a causal relationship method is proposed to determine the background threshold route. According to the experimental results of the special scheme star sensor, the background threshold determined by the causal relationship method can well distinguish the background from the star point in the digital star image, ensure the correct recognition of the target star point, and Have better real-time.