混合电网模式 基于多校准恒星验证的恒星识别算法
Chao Shen1, Caiwen Ma1, Wei Gao1
1Xi'an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi'an 710119, China.
Sensors (Basel, Switzerland)
|March 13, 2024
概括
一个新的混合网格模式恒星识别算法提高了科学摄像机的准确性. 这种方法通过减少噪音干扰和通过参考图像验证结果来增强导航明星识别.
科学领域:
- 天文学 天文学
- 天体物理学 天体物理学
- 太空科学 太空科学
背景情况:
- 恒星识别对于在太空中实现自主导航至关重要.
- 现有的算法与小型视野摄像头和噪音作斗争.
研究的目的:
- 为太空中迷失的场景开发一个强大的恒星识别算法.
- 在具有挑战性的成像条件下提高精度和可靠性.
主要方法:
- 一个使用多校准恒星进行初始匹配的混合网格模式.
- 校准明星过以消除错误的阳性.
- 使用参考恒星图像进行最接近原理验证.
主要成果:
- 在2像素位置噪声下实现了96.43%的识别率.
- 在0.3级噪声下实现了96.45%的识别率.
- 在真实测试中成功识别了12级恒星.
结论:
- 拟议的混合电网算法优于现有的基于电网的方法.
- 该算法提供了针对位置和大小噪声的改进强度.
- 它是有效的科学摄像机在失落在太空中的应用.
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