A new star identification algorithm based on fuzzy line pattern matching

Author

Sohrabi, SH ; Shirazi, A. A Beheshti

Author_Institution

E-learning Center, Iran Univ. of Sci. & Technol., Tehran, Iran

fYear

2010

fDate

8-9 Nov. 2010

Firstpage

1

Lastpage

7

Abstract

A new star identification algorithm based on fuzzy line pattern matching is proposed for satellite attitude determination. In this algorithm, the star point pattern convert to line pattern by “Delaunay triangulation” method, then we present a fuzzy line pattern matching. In this method, we use the membership functions to describe position, orientation and relation similarities between different line segments. The simulation results based on the “Desktop Universes Star images” demonstrate that the fuzzy star pattern recognition algorithm speeds up the process of star identification and increases the rate of success greatly compared with traditional triangle matching algorithms that use the angular separations as the identification feature.

Keywords

artificial satellites; fuzzy set theory; image matching; mesh generation; stars; Delaunay triangulation method; angular separations; desktop universes star images; fuzzy line pattern matching; fuzzy star pattern recognition algorithm; line segments; membership functions; satellite attitude determination; star identification algorithm; star point pattern; triangle matching algorithms; CMOS integrated circuits; Pattern matching; Fuzzy line pattern matching; Star Database pattern; Star Line pattern; Star identification algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of

Conference_Location

Queenstown

ISSN

2151-2191

Print_ISBN

978-1-4244-9629-7

Type

conf

DOI

10.1109/IVCNZ.2010.6148847

Filename

6148847