Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145246
Title: A rotation-invariant additive vector sequence based star pattern recognition
Authors: Mehta, Deval Samirbhai
Chen, Shoushun
Low, Kay-Soon
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Mehta, D. S., Chen, S., & Low, K.-S. (2019). A rotation-invariant additive vector sequence based star pattern recognition. IEEE Transactions on Aerospace and Electronic Systems, 55(2), 689-705. doi:10.1109/TAES.2018.2864431
Journal: IEEE Transactions on Aerospace and Electronic Systems 
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.
URI: https://hdl.handle.net/10356/145246
ISSN: 1557-9603
DOI: 10.1109/TAES.2018.2864431
Rights: © 2019 Institute of Electrical and Electronics Engineers (IEEE). All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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