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
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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