Framework for situation assessment and threat evaluation with application to an air defense scenario

In military environment an operator needs to evaluate the tactical environments in real-time and make decisions to protect the assets against the enemy threats by selecting the appropriate means to engage the enemy target. This work is related to the reconnaissance (including the automatic identification and classification) of targets with hostile behaviors in relation to one point of interest located on the ground. We propose an integrated framework based on Bayesian networks and automated planning tools, to generate the situation awareness to the decision maker being a decision making supporting tool with great potential to be applied in the surveillance of large areas.