A rotation-invariant additive vector sequence based star pattern recognition

• Main Authors: Mehta, Deval Samirbhai, Chen, Shoushun, Low, Kay-Soon
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Star Pattern Recognition; Star Identification
• Online Access: https://hdl.handle.net/10356/145246
• Institution: Nanyang Technological University

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.