Adaptive Target Threat Assessment Based on BLS and Variational Bayesian

Aiming at the problem of strong subjectivity and single method in existing target assessment algorithms, a target threat assessment algorithm with a re-scoring mechanism is proposed. Firstly, establish a hierarchical target threat assessment system using the Analytic Hierarchy Process (AHP) to preliminarily score the target. Subsequently, the target is re-evaluated through broad learning and the threat parameters of the target are dynamically adjusted. Finally, the Variational Bayesian algorithm is used to classify threat levels based on threat ratings. The experimental results demonstrate that this method can accurately evaluate different targets and effectively classify threat levels, which has certain reference value for target analysis and situation judgment in various maritime scenarios.