Star Chart Recognition Algorithm Based on Singular Value Decomposition
| Autor: | Xinhong Li, Fei Sun |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Angular distance
Computer science Feature extraction A* search algorithm Astrophysics::Cosmology and Extragalactic Astrophysics Star (graph theory) law.invention Chart law Singular value decomposition Astrophysics::Solar and Stellar Astrophysics Point (geometry) Star chart Astrophysics::Earth and Planetary Astrophysics Algorithm Astrophysics::Galaxy Astrophysics |
| Zdroj: | 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). |
| DOI: | 10.1109/iaeac50856.2021.9391032 |
| Popis: | The problem of all-sky autonomous star chart recognition is a key technology in star-sensitive device technology, the traditional star chart recognition algorithm is mainly characterized by the angular distance or its derived form, such methods generally require a relatively large storage space, the real-time performance is not good and the recognition rate is generally not high. In this paper, a star chart recognition algorithm based on singular value decomposition is proposed. Firstly, the basic principle of the singular value decomposition algorithm is introduced, and its features are analyzed. Secondly, based on the singular value decomposition, the star chart recognition algorithm is designed, and the star number corresponding to each image point in the known star chart is given. The experimental results show that the singular value decomposition-based star chart recognition algorithm requires less storage space, and its resolution and real-time performance are better than the traditional triangular algorithm, and it can perform finer feature extraction of the star point information in the star chart, which has good guiding significance for astronomical navigation. |
| Databáze: | OpenAIRE |
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