Multi-dimensional reward volumes for sensor priority strategies

We describe a model for determining strategies for making decisions for sensor prioritization strategies. We combine operations research methods and remote sensing for decision making with several possible actions, state of the world, and a mixed probability metric. We perform data mining and discover patterns to automatically enhance situational awareness from multiple sensor inputs. Our solution has been developed for a method for determining actionable information to efficiently manage remote sensing assets and use open source information. Our tool allows for calculating optimal strategies, provides greater knowledge about the state of the world, and increases the likelihood of a decision maker making the best decision. We discuss multi-dimensional game theory using linear programming methods to solve for multiple possible strategies. We discuss a new concept of reward volumes. The decision maker's success depends upon his ability to correctly and automatically judge the multiple factors. The goal of our system, called GlobalSite, is to deliver trustworthy threat analysis systems and services that understand situations, while being a vital tool for continuing mission operations.