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…
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