Multisensor data fusion seeks to combine information from multiple sources (including sensors, human reports, and data from the Internet) to achieve inferences that cannot be obtained from a single sensor or source, or whose quality exceeds that of an inference drawn from any single source. Historically, the U.S. Department of Defense (DoD) and other defense establishments around the world invested enormous amounts of funds for data fusion systems in applications such as automatic target recognition, target tracking, automated situation assessment, identification-friend-foe-neutral (IFFN) systems, and smart weapons. This investment has resulted in an extensive legacy of data fusion technological capability that combines process ...

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