Air Force to brief industry on projects for combat identification of ocean targets using machine learning

Jan. 13, 2025
Briefings will be from 9 a.m. to 4 p.m. on 11 and 12 Feb. 2025 at 2241 Avionics Circle, at Wright-Patterson Air Force Base in Dayton, Ohio.

WRIGHT-PATTERSON AFB, Ohio – U.S. Air Force researchers will brief industry next month on two initiatives that seek to locate and identify ocean targets from satellites and aircraft imagery; and improve predictive air-to-air combat identification.

Officials of the Sensors directorate of the Air Force Research Laboratory will brief industry on the upcoming Maritime Automated Ingestion for Scene-Aware Identification and Localization (MAINSAIL); and Air Target Optimization & Autonomy Activity (ATOMATA) programs.

Briefings set for February

Industry briefings will be from 9 a.m. to 4 p.m. on 11 and 12 Feb. 2025 at Area B, Building 600, 2241 Avionics Circle, at Wright-Patterson Air Force Base in Dayton, Ohio.

MAINSAIL focuses on advancing maritime domain awareness capabilities to help identify and localize maritime targets in imagery from overhead assets by developing new technologies to enhance maritime domain awareness.

Related: Analyzing data from thousands of floating sensors is goal in second phase of DARPA Ocean of Things project

AUTOMATA, meanwhile, focuses on improving air-to-air combat identification performance using the existing Joint Multi-sensor Automated Combat ID (JMAC) algorithm, with an emphasis on sensing operation using prediction in a distributed-sensor operation.

MAINSAIL seeks to use machine learning and automatic target recognition models for electro-optical and synthetic aperture radar imagery; identify non-imagery information to constrain predicted future locations; represent knowledge about the targets with modern data structures; and associate automatic target recognition and data to identify past locations and predict future locations.

Predictive sensing

ATOMATA focuses on sensing operation using prediction using tracking, track association, and sensor resource management algorithms; options for distributed operation and characterizations of each; combat identification performance of tracking and sensor resources; additional sensors and features; and additional platforms and geometries.

The project also seeks ways of using multi-platform, multi-sensor closed-loop tracking and sensor management algorithm development; performance assessment of sensor exploitation testing, modeling, and simulation.

Related: Navy researchers tap Draper Lab for enabling technologies in machine autonomy for unmanned undersea warfare

Briefings will be conducted at the SECRET security level. RSVP for the industry briefings online at https://einvitations.afit.edu/inv/index.cfm?i=938213&k=0B624A0B7A54.

Email questions or concerns to Jacob Pritchard, the MAINSAIL program manager, at [email protected]; or to Alistair Hildenbrandt, the AUTOMATA program manager, at [email protected].

More information is online at https://sam.gov/opp/f581d3f9d4854cdf9169c9581d7c767e/view.

About the Author

John Keller | Editor-in-Chief

John Keller is the Editor-in-Chief, Military & Aerospace Electronics Magazine--provides extensive coverage and analysis of enabling electronics and optoelectronic technologies in military, space and commercial aviation applications. John has been a member of the Military & Aerospace Electronics staff since 1989 and chief editor since 1995.

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