Scout | Characterization and Typing of Hard-to-Acquire Targets using Advanced Machine Learning Methods on WFOV Staring Data

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Characterization and Typing of Hard-to-Acquire Targets using Advanced Machine Learning Methods on WFOV Staring Data

This grant opportunity seeks to develop a software prototype that uses advanced machine learning algorithms to detect, identify, and classify difficult-to-track targets in data from ground-based, wide field of view electro-optical sensors. The objective is to improve space domain awareness, especially in view of challenges posed by mega satellite constellations from entities like China. The pr…

Source

Agency: Air Force

Dates

Application Window Closes: October 16, 2024

Open for Submission: September 18, 2024

Opportunity Released: August 21, 2024

Keywords

1. Advanced Machine Learning 2. Space Surveillance 3. Wide Field of View (WFOV) 4. Electro-Optical (EO) Sensors 5. Target Characterization 6. Real-time Data Processing 7. Space Domain Awareness (SDA) 8. Uncued Surveillance 9. Artificial Intelligence (AI) 10. Big Data Exploitation

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