What is it about?
In this work, we propose a hybrid approach using Convolutional LSTM and Mixture of Probalistic Principal Components analysis to detect anomalies in telemetry data collected from KOMPSAT satellites.
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Photo by NASA on Unsplash
Why is it important?
Anomaly detection is very crucial in satellite health monitoring systems.
Perspectives
The first deep learning-based satellite health monitoring system deployed by Korean Aerospace Research Insitute is based on this research.
Dr. Shahroz Tariq
CSIRO
Read the Original
This page is a summary of: Detecting Anomalies in Space using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA, July 2019, ACM (Association for Computing Machinery),
DOI: 10.1145/3292500.3330776.
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Contributors
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