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A NOVEL STAR PATTERN RECOGNITION ALGORITHM FOR STAR SENSOR

机译:一种新颖的星型传感器星型识别算法

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摘要

Triangle algorithm is used widely in the field of star pattern recognition, but it also has disadvantage that recognition reliability decreases seriously in areas where there are many stars existing small angular separation.The character match algorithm can solve this problem and it has small size of guide star database, but it can not recognize a star image with displacement caused by camera movement and rotation.To overcome this disadvantage, an effective star pattern recognition algorithm is proposed in this paper.This algorithm divided the entire celestial sphere into a lot of square areas based on some bright stars during constructing guide star database, and then it used sub-areas selected from these square areas for star pattern recognition according to characteristic of star image sensed by star sensor.The simulation results show that the algorithm in this paper not only inherits advantages of character match algorithm, but also has strong robustness against star image displacement.
机译:三角形算法在星型识别领域得到了广泛的应用,但也存在缺点,即在存在多个小角度间隔的恒星存在的区域中,识别可靠性会大大降低,字符匹配算法可以解决此问题,并且导引尺寸小为了解决这一缺点,本文提出了一种有效的星形模式识别算法。该算法将整个天球划分为多个正方形区域在建立导星数据库的过程中,基于一些亮星,然后根据从恒星传感器感应到的恒星图像的特征,使用从这些正方形区域中选择的子区域进行星型识别。继承了字符匹配算法的优点,但对星像位移也具有很强的鲁棒性精神。

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