A peepholes method derives semantically annotated features from convolutional autoencoder activations to enable interpretable anomaly detection and localization in satellite attitude control telemetry.
TheΦ-Sat-1 Mission: The First On-Board Deep Neural Net- work Demonstrator for Satellite Earth Observation.IEEE Transactions on Geoscience and Remote Sensing, 60:1–1
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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.