Composable, distributed system to derive actionable mission information from intelligence, surveillance, and reconnaissance (ISR) data

Advances in sensor observation and collection technology, coupled with the use of multiple sensors distributed amongst multiple transport platforms to support a single mission; create the potentially crippling problem of data overload for DoD operators and imagery and video analysts as they strive to provide processing, exploitation, and dissemination (PED) to the end-user (i.e., warfighter). These operators and analysts depend on sensor data, specifically Intelligence, Surveillance and Reconnaissance (ISR) data, to perform time-critical mission functions such as target engagement. However, in many cases, the data they receive are not relevant to the mission, and they waste valuable time and resources sifting through thousands of still imagery and video footage gaining very little useful information that can be turned into actionable intelligence. The DoD seeks a solution to this problem that will reduce the vast amount of ISR data to actionable ISR information. The Multifactor Information Distributed Analytics Technology Aide (MiData) applies systems engineering and architectural principles to solve this challenge in a novel way. MiData is a composable system comprising independent factors integrated to perform critical processing functions that autonomously transform data to information. These factors may be distributed between mission segments located in the air, on the ground, or in the sea based on the mission requirements and PED resource availability. This distribution enables resource reduction, operator and analysts´ productivity increases across the ISR mission segments, and response-time improvements to meet time-critical needs of end-users.