DocumentCode :
1090468
Title :
Modified Grid Algorithm for Noisy All-Sky Autonomous Star Identification
Author :
Na, Meng ; Zheng, Danian ; Jia, Peifa
Author_Institution :
Tsinghua Univ., Beijing
Volume :
45
Issue :
2
fYear :
2009
fDate :
4/1/2009 12:00:00 AM
Firstpage :
516
Lastpage :
522
Abstract :
Grid algorithm is a classical algorithm for all-sky autonomous star identification. However its recognition rate decreases rapidly when the position and magnitude noise increases in the star image. In order to overcome this problem, a modified grid algorithm called the "elastic gray grid algorithm" is proposed. Gray pattern and elastic template matching are introduced into the grid algorithm to enhance its ability to tolerate the position and magnitude noise. Experimental results show that the modified grid algorithm performs better compared with the original one. The elastic gray grid algorithm reached up to a 100% recognition rate under random positional noise in our test bed. Furthermore it increases the original recognition rate from 69.86% to 97%, under the same condition, for both the position and the magnitude noise.
Keywords :
image recognition; star trackers; all-sky autonomous star identification; elastic gray grid algorithm; elastic template matching; gray pattern; random positional noise; recognition rate; star image; Computer science; Image recognition; Instruments; Intelligent systems; Pattern matching; Pattern recognition; Position measurement; Research and development; Space technology; Testing;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2009.5089538
Filename :
5089538
Link To Document :
بازگشت