A rotation-invariant additive vector sequence based star pattern recognition
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| Authors | D. S. Mehta, Shoushun Chen, K. Low |
| Journal/Conference Name | I |
| Paper Category | Aerospace Engineering |
| Paper Abstract | A novel star pattern recognition technique for a “Lost-in-space” mode star tracker is presented in this paper. First, the two-dimensional (2-D) vectors connecting the stars are constructed in a rotation-invariant frame. Later, the additive property of 2-D vectors is integrated with the rotation-invariant frame to build a vector sequence for star identification. The proposed technique achieves an identification accuracy of 98.7% and has a run-time of only 12 ms for real-time testing on star images. |
| Date of publication | 2019 |
| Code Programming Language | Matlab |
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