This book summarizes the research advances in star identification that the author's team has made over the past 10 years, systematically introducing the principles of star identification, general methods, key techniques and practicable algorithms. It also offers examples of hardware implementation and performance evaluation for the star identification algorithms. Star identification is the key step for celestial navigation and greatly improves the performance of star sensors, and as such the book include the fundamentals of star sensors and celestial navigation, the processing of the star…mehr
This book summarizes the research advances in star identification that the author's team has made over the past 10 years, systematically introducing the principles of star identification, general methods, key techniques and practicable algorithms. It also offers examples of hardware implementation and performance evaluation for the star identification algorithms. Star identification is the key step for celestial navigation and greatly improves the performance of star sensors, and as such the book include the fundamentals of star sensors and celestial navigation, the processing of the star catalog and star images, star identification using modified triangle algorithms, star identification using star patterns and using neural networks, rapid star tracking using star matching between adjacent frames, as well as implementation hardware and using performance tests for star identification. It is not only valuable as a reference book for star sensor designers and researchers working in pattern recognition and other related research fields, but also as teaching resource for senior postgraduate and graduate students majoring in information processing, computer science, artificial intelligence, aeronautics and astronautics, automation and instrumentation. Dr. Guangjun Zhang is a professor at the School of Instrumentation Science and Opto-electronics Engineering, Beihang University, China and also the Vice President of Beihang University, China
Dr. Guangjun Zhang, is currently a Professor of the School of Instrumentation Science and Opto-electronics Engineering, Beihang University, China and the Vice President of Beihang University, China. He obtained his Ph. D. from the Department of Precision Instrument Engineering, Tianjin University, China in March 1991 and was appointed as a Distinguished Professor of Changjiang Scholars Program, China in 2000. His main research interest is computer vision. He was in charge of several major scientific research projects in China and made contributions to Shenzhou manned spacecraft and other satellites. He won the 1st prize in the National Science and Technology Awards in 2008, the 2nd prize in the National Science and Technology Awards in 2006, the 4th prize in the National Science and Technology Awards of 1997, National Science Fund for Distinguished Young Scholars in 2001, and Changjiang Scholars Program Achievement Award in 2008.
Inhaltsangabe
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.
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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