Fusion of Data from Multiple Sensors with Model-Based Data Analysis

摘要

For many applications, the combination of multiple data sources is required to reach a conclusion. Limited communications and processing capabilities dictate transmitting, processing and reviewing information more likely to affect a decision before less relevant data. Autonomous craft must, thus, prioritize data for transmission, onboard. Previous work demonstrated the ability to identify and prioritize discrepancies between collected and pre-existing image, topographic and gravitational data. This paper focuses on combining single-source analysis from these datasets to produce a fusion-analysis for predicting the decision-impact value of the component data. This approach is evaluated for persistent surveillance and asteroid assessment applications.