DSIAC was asked for information on technologies capable of optimizing and fusing intelligence data to support decision making. DSIAC staff provided information on artificial intelligence and machine-learning technologies applicable to MASINT, especially radar data, for improved space situational awareness. In particular, a summary of current deep learning capabilities was described, along with the applicability and drawbacks of using the recent advances to achieve MASINT objectives.
Technologies Capable of Optimizing and Fusing Intelligence Data to Support Decision Making
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Posted on March 30, 2020 | Completed on January 22, 2020 | By: Scott E. Armistead
What recent advances in automatic target recognition and tracking are enabled via deep neural networks? How can these techniques be applied to measurement and signature intelligence (MASINT) radar and other sensor data?
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