| 基于BP网络星图识别的样本构造方法 |
| The Method of Sample Construction Based on Stellar Map Recognition of the BP Network |
| 修订日期：2002-12-05 |
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| 中文摘要: |
| 星敏感器是一种高精度的姿态敏感测量系统，如何确定星敏感器上像点在摄影时刻所对应的恒星，即星图识别，是姿态测量的关键。本文根据星图识别问题本身的特点和神经网络技术的特性，提出了基于BP网络星图识别方法的一种可以兼顾性能和效率、利于实现的样本构造方法。 |
| 英文摘要: |
| Star sensor is a kind of high-accuracy posture sensitive measuring system, how to confirm star sensor's photo-spot of corresponding fixed star at the moment of photography, that is stellar map recognition, it is the key of posture measurement. According as the specialty of stellar map recognition problem and the characteristic of the neural network technology, this article proposed a method of sample construction based on the method of stellar map recognition of the BP network. It can give consideration to the performance, efficiency and easy realization. |
| 李春艳 李恪 张龙云 金声震 |
| [1]辽宁师范大学物理系，辽宁大连ll6029 [2]北京科技大学计算机系，北京100083 [3]中国科学院国家天文台，北京100012 |
| 中文关键词: 星敏感器 星图识别 姿态测量 样本构造方法 BP网络 卫星 |
| 英文关键词:stellar map recognition,BP neural network,sample construction |
| 基金项目:国家863项目资金资助(863—2.5.1.25) |
| DOI： |
| 引用本文：李春艳,李恪,张龙云,金声震.基于BP网络星图识别的样本构造方法[J].计测技术,2003,(2):10~13. |
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