摘要
本文研究了利用多个传感器的实时报告以及半实时、非实时情报进行决策级数据融合,以辨识海上目标类型的方法,其特点是把证据理论方法与模糊集合理论和模糊推理以及专家系统方法相结合。仿真演示器实际证明,这种方法不仅可解决不确定性问题,而且可提高目标识别的精确性、可靠性。这种方法对于研究其它数据融合以及态势评定和威胁估计都有借鉴意义。
This paper introduces the method for recognizing surface target, type using multisensor's realtime reports, semi-realtime and non-realtime intelligence into data fusion at decision level. Its charcteristic is that the evidential theory has been integrated with fuzzy set theory, Fuzzy reasoning and Expert, System. The simulational demonstrator proved that, the method can not only solve noncertain problemes, but can improve accuracy and reliablity of target recognition. So this method could be used for reference to other data fusion problemes, as well as situation and threat estimation.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1999年第1期25-31,共7页
Pattern Recognition and Artificial Intelligence
