节点文献
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
【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网络里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。
【Abstract】 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.
【关键词】 星图识别;
BP神经网络;
样本构造;
【Key words】 stellar map recognition; BP neural network; sample construction;
【Key words】 stellar map recognition; BP neural network; sample construction;
【基金】 国家863项目资金资助(863—2.5.1.25)
- 【文献出处】 航空计测技术 ,Aviation Metrology & Measurement Technology , 编辑部邮箱 ,2003年02期
- 【分类号】V448.2
- 【被引频次】1
- 【下载频次】168