Agent-based Spectral Analysis Automation (SAA) for On-board Science Data Processing

The major objective of the Spectral Analysis Automation (SAA) work is to develop an agent-based system that is capable of filtering spectral analysis data and making the selected data available for a complete spectral analysis processing. In particular, we are pursuing a goal-driven data filtering capability that assesses observations for their relevance to mission goals. This type of data filtering will eventually find its way onboard a spacecraft and the filtering will result in less demand for restricted download capabilities and enable onboard or in-situ science event detection and response. The agent-based SAA approach is described in this paper.

• Type: Conference
• Year: 2003
• Where: FLAIRS
• Authors: Walt Truszkowski, Sidney C. Bailin
• Keywords: Artificial Intelligence, Data Filtering, FLAIRS 2003, Spectral Analysis, Spectral Analysis Data