Deep Learning for Communication-Limited Spacecraft

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The objective of this project is to investigate the feasibility of applying deep-learning algorithms to communication-limited spacecraft, an operational domain where a slow, restricted, or intermittent downlink bottleneck inhibits the generation of large training datasets on the ground. With novel complex sensors generating ever-increasing amounts of data, it is imperative to be able to autonomously and robustly classify scientifically useful data to maximize scientific utility per bit transmitted to the ground. This project studies two classification...