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Designing an optimal video camera network for monitoring ground activities is a critical problem to ensure sufficient performance in video surveillance system. Several authors have addressed this issue in the past, and considered this problem to be essentially a coverage optimization problem. Because of its nature and complexity, this problem is considered to be a multiobjective global optimization problem. In this paper we propose a basic concept for the design of a decision support tool for the deployment of C4ISR systems in general and Ground Air Traffic Control systems in particular. A novel and general formulation of coverage based on distance degraded ROC curves is proposed. This representation allows the user to define in a flexible as well as expressive way a wide variety of constraint combinations to build a sensor placement solution. Visualizations are provided to the user for a meaningful selection among the optimal solution computed. First results with the proposed approach are presented on a Ground Air Traffic Control case study aiming at the positioning of camera networks for the detection and localization of moving objects on runways.