Synopsis
Introduction.-Fundamental Knowledge of Astronomy.- Introduction of Celestial Navigation.- Introduction of Star Sensor.- Introduction of star identification.- Current star identification algorithms and the development trends.- Content introduction of the chapters.- References.- Processing of Star Catalog and Star Image.- Star catalog partition.- Guide star selecting and double star processing.- Star image simulation.- Star spot centroiding.- Calibration of centroiding error.- References.- Star Identification using Modified Triangle Algorithm.- Current triangle algorithms.- Modified triangle algorithm using angular distance matching.- Modified triangle algorithm using P vector.- References.- Star Identification using Star Patterns.- Introduction of grid algorithm.- Star identification using radial and cyclic star patterns.- Star identification using Log-Polar transform.- Star identification without calibration parameters.- References.- Star Identification using Neural Networks.- Introduction of neural networks.- Neural networks based star identification using features of star vector matrix.- Neural networks based star identification using mixed features.- References.- Rapid Star Tracking using Star Matching between Adjacent Frames.- Star tracking mode of star sensor.- Rapid star tracking algorithm using star matching between adjacent frames.- Simulations and results analysis.- References.- Hardware Implement and Performance Test of Star Identification.- Implement of star identification on RISC CPU.- Hardware-in-loop simulation test of star identification.- Field experiment of star identification.- References.
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