Joint data management for MOVINT data-to-decision making

Joint data management (JDM) includes the hardware (e.g. sensors/targets), software (e.g. processing/algorithms), and operations (environments) of data exchange that enable persistent surveillance in the context of a data-to-decision (D2D) information fusion enterprise. Key attributes of an information system require pragmatic assessment of data and information management, distributed communications, knowledge representation, human-systems interaction, as well as a balanced sensor mix, algorithm choice, and life-cycle data management. Throughout the paper, we seek to describe the current technology, research approaches, and metrics that influence a realizable JDM product. We develop JDM methods for structured and unstructured data to determine an accurate target track and identification as a moving intelligence (MOVINT) capability. We examine classification methods of unstructured data using seismic, acoustic, and combined fusion methods for data analysis and information management.