Australia looks towards space with force restructure, investment and training
Australia is looking to improve its presence in space with a focus on communications and creating a dedicated segment of its defence forces committed to the domain.
US Army tests Lockheed Martin data analysis software
Software developed by Lockheed Martin is being tested the US Army to assess its ability to improve data analysis capabilities of the army’s primary intelligence system. The work is being conducted as part of a project to update the Distributed Common Ground System (DCGS-A), as the service prepares for fielding in 2015.
DCGS is a family of systems that enables military analysts from all services to access shared intelligence. DCGS-A takes sensor data from all sources - signals, imagery and human intelligence - and integrates it into a common data format in a fused environment, making multi-source intelligence analysis possible.
The software developed by Lockheed Martin is being tested and evaluated for its ability to assist with the analysis of this data. The test and evaluation process includes multiple stages of technology reviews, practical application evaluations and operational user tests.
Rob Smith, vice president of C4ISR, Lockheed Martin, said: ‘From drones and satellites to ground sensors and biometric scanners, the amount of information that flows through the DCGS-A enterprise is immense. We've worked with the army to update the software capabilities and make it easier for analysts to expedite the intelligence to those who need it most.’
Through multiple projects focused on interoperability, automation and efficient analysis, Lockheed Martin is modernising how data flows and is connected through the DCGS-A enterprise. New software capabilities include an Automated Entity Merge Service (AEMS), and DataMover.
AEMS merges similar real-world intelligence data, providing a significant time savings for analysts who are faced with thousands of entities that would otherwise need to be manually reviewed. By automating the merge process, analysts can spend more time analysing fused results that support understanding the common operating picture.
DataMover provides for the conversion of data into different formats to enable it to be shared across the DCGS-A enterprise using different software versions.
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