Pattern recognition for Space Applications Center director's discretionary fund

Statistics – Computation

Scientific paper

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Astronomical Maps, Computer Programs, Pattern Recognition, Satellite Observation, Star Clusters, Attitude Control, Computation, Mathematical Models, Matrices (Mathematics), Star Distribution, Star Trackers

Scientific paper

Results and conclusions are presented on the application of recent developments in pattern recognition to spacecraft star mapping systems. Sensor data for two representative starfields are processed by an adaptive shape-seeking version of the Fc-V algorithm with good results. Cluster validity measures are evaluated, but not found especially useful to this application. Recommendations are given two system configurations worthy of additional study,

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