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A Star Pattern Recognition Technique Based on the Binary Pattern Formed from the FFT Coefficients

机译:基于FFT系数形成的二值模式的星型识别技术

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A star sensor has become one of the most widely used attitude sensors for the satellite missions in the past decade. When no prior attitude information is available, it operates in a Lost-in-space (LIS) mode. The star pattern recognition technique forms the most crucial part of star sensor in the LIS mode. In this paper, we propose a novel star pattern recognition technique for an LIS mode star sensor. Firstly, a discrete sample signal is formed from the features extracted from the star image. Later, a 1D FFT is applied on the discrete sample signal. Finally, a binary pattern is formed from the relative magnitude of consecutive FFT coefficients for finding a match between the image and the database. Experiments are performed on simulated star images with missing and false stars. The proposed approach robustly maintains the identification accuracy to 97% on the swayed and biased simulated images.
机译:在过去的十年中,恒星传感器已成为卫星任务中使用最广泛的姿态传感器之一。如果没有可用的先前姿态信息,它将以空间丢失(LIS)模式运行。星型识别技术是LIS模式下星型传感器最关键的部分。在本文中,我们提出了一种用于LIS模式恒星传感器的新颖恒星模式识别技术。首先,根据从恒星图像中提取的特征形成离散样本信号。之后,将一维FFT应用于离散采样信号。最后,由连续FFT系数的相对大小形成二进制模式,以查找图像与数据库之间的匹配。实验是在缺少星标和伪星的模拟星图上进行的。所提出的方法将偏斜和偏斜的模拟图像的识别准确度保持在97%。

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