The reasonableness of target selection in active electro-optical jamming directly affects the effectiveness of target protection in electronic air defensive operations, which is the core of electronic air defensive operations command and control. Modern air attack and anti-air attack operations are full of high-intensity countermeasure, incomplete and inaccurate observation of battlefield information occurs from time to time. The existing active electro-optical jamming target selection method focuses more on pre-war planning, which could not be adapted to the dynamic characteristics of the operation process, and the consideration of the causal influence relationship is lacking. This paper proposed a method to carry out active electro-optical jamming target selection based on dynamic Bayesian network, gave the algorithmic flow of the method, meanwhile, simulated and analysed it with a typical example.