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天文导航技术已经进入一个新的发展阶段,随着电子技术和计算机技术的发展,它已广泛应用于卫星、航天飞机、远程导弹和其他航天器。星点质心位置是天文导航技术的关键。由于白天强烈天空背景的干扰,拍摄的近红外恒星图像信噪比很低。首先,采用信息熵的方法来进行分析恒星的图像能量分布。然后,提出了基于多级的最小能量差星点目标质心定位的方法。此方法使用线性叠加,以缩小质心区域范围,使用恒星能量分布的对称性出现的最小差值时,得到星点质心坐标。通过测试自然拍摄的图像来验证算法的准确性。实验表明:该方法具有良好的低信噪比条件下的质心定位精度。
Astronomy navigation technology has entered a new stage of development, with the development of electronic technology and computer technology, it has been widely used in satellites, space shuttles, long-range missiles and other spacecraft. The position of the centroid of the star is the key of the astronomical navigation technology. Due to the strong sky background during the day, the near-infrared stellar image recorded had a low signal-to-noise ratio. First, we use the method of information entropy to analyze the image energy distribution of stars. Then, the method of locating the center of mass of the star point based on multilevel minimum energy difference is proposed. This method uses linear superposition to narrow the range of the centroid region, using the minimum difference in the symmetry of the energy distribution of the star to obtain the centroid coordinates of the star. Verify the accuracy of the algorithm by testing naturally taken images. Experiments show that this method has good accuracy of centroid localization under low signal-to-noise ratio.