A graph based algorithm for star recognition

Di Jiang, Ke Zhang, Olivier Debeir

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A novel method is proposed to identify a star into the sky with respect to a reference guidance star database. Contrary to the grid based method, our approach relies on the definition of a graph build on the star local distribution. Via the method, each star is located into its own polygon using the Voronoï partition. Geometric features are extracted from these polygons to form a a star signature used to address the guidance star database. Simulations indicate that the novel method removes the limit of the grid algorithm related to stars located in the same cell of the grid. Our graph-based method exhibits also a better robustness to position and intensity noise when compared to the grid approach.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages159-162
Number of pages4
ISBN (Electronic)9781509064137
DOIs
StatePublished - 2 Jul 2017
Event2nd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017 - Chengdu, China
Duration: 15 Dec 201717 Dec 2017

Publication series

NameProceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
Volume2018-January

Conference

Conference2nd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
Country/TerritoryChina
CityChengdu
Period15/12/1717/12/17

Keywords

  • perpendicular bisectors
  • polygon feature
  • star recognition
  • Voronoï graph

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