基于MRF模型的飞机飞行动作识别划分算法

Recognition and division of aircraft flight action based on MRF model

军用飞机飞行动作具有较强的随机性和模糊性,为实现针对军用飞机飞行动作的识别和划分,提出了一种基于马尔可夫随机场MRF模型的飞行动作识别划分算法,可以在没有标定的情况下,将飞行数据段分割聚类,实现飞行动作的识别和划分。仿真实验表明,相比于传统的飞行动作识别算法,基于MRF模型的飞行动作识别划分算法且有更高的识别率。

Military aircraft flight action have strong randomness and ambiguity.In order to realize the recognition and division of military aircraft flight action,a Markov Random Field(MRF)based recognition and division algorithm is proposed.The flight data segment is divided and clustered to realize the recognition and division of flight actions.Simulation experiments show that,compared with traditional flight action recognition algorithms,the flight action recognition algorithm based on the MRF model has a higher recognition rate.