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首页> 外文会议>International symposium on photoelectronic detection and imaging;ISPDI 2011 >Star pattern recognition algorithm aided by inertial information
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Star pattern recognition algorithm aided by inertial information

机译：惯性信息辅助的星型识别算法

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Star pattern recognition is one of the key problems of the celestial navigation. The traditional star pattern recognition approaches, such as the triangle algorithm and the star angular distance algorithm, are a kind of all-sky matching method whose recognition speed is slow and recognition success rate is not high. Therefore, the real time and reliability of CNS (Celestial Navigation System) is reduced to some extent, especially for the maneuvering spacecraft. However, if the direction of the camera optical axis can be estimated by other navigation systems such as INS (Inertial Navigation System), the star pattern recognition can be fulfilled in the vicinity of the estimated direction of the optical axis. The benefits of the INS-aided star pattern recognition algorithm include at least the improved matching speed and the improved success rate. In this paper, the direction of the camera optical axis, the local matching sky, and the projection of stars on the image plane are estimated by the aiding of INS firstly. Then, the local star catalog for the star pattern recognition is established in real time dynamically. The star images extracted in the camera plane are matched in the local sky. Compared to the traditional all-sky star pattern recognition algorithms, the memory of storing the star catalog is reduced significantly. Finally, the INS-aided star pattern recognition algorithm is validated by simulations. The results of simulations show that the algorithm's computation time is reduced sharply and its matching success rate is improved greatly.
机译：星型识别是天体导航的关键问题之一。传统的星形模式识别方法，例如三角形算法和星形角距离算法，是一种全天空匹配方法，其识别速度慢，识别成功率不高。因此，CNS（天体导航系统）的实时性和可靠性在一定程度上降低了，特别是对于机动航天器而言。然而，如果可以通过诸如INS（惯性导航系统）之类的其他导航系统来估计照相机光轴的方向，则可以在所估计的光轴方向附近实现星形识别。 INS辅助星型识别算法的好处至少包括改进的匹配速度和改进的成功率。本文首先借助INS估计了摄像机光轴的方向，局部匹配的天空以及恒星在像面上的投影。然后，动态地实时建立用于星图识别的本地星图。在相机平面中提取的星像在局部天空中匹配。与传统的全星型模式识别算法相比，星型目录的存储空间大大减少。最后，通过仿真验证了惯导系统辅助的星型识别算法。仿真结果表明，该算法的计算时间大大减少，匹配成功率大大提高。

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