A peepholes method derives semantically annotated features from convolutional autoencoder activations to enable interpretable anomaly detection and localization in satellite attitude control telemetry.
In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery.Scientific Reports, 13(1)
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On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities
A peepholes method derives semantically annotated features from convolutional autoencoder activations to enable interpretable anomaly detection and localization in satellite attitude control telemetry.