DocumentCode
3419045
Title
Infrared image recognition algorithm based on target character prediction
Author
Fancheng, Kong ; Guoliang, He ; Guanglong, Geng ; Tao, Liu
Author_Institution
Xuzhou Air Force Coll., Xuzhou, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
1187
Lastpage
1190
Abstract
Aimed at the prevalent phenomenon that it compute too many number and run slowly while infrared imaging air-air missile recognize targets, presented the algorithm that pattern match recognition applied character prediction. Firstly, choose target characters that adapt to recognition of air-air missile. Then the text classified these characters, predicted with weighted average method to the relative character that not changed with time, and predicted with kalman filter to the absolute character that changed rapidly with time. Finally, make the predicted value as the molding board, and used pattern match method to recognize. The result of simulation showed that the algorithm can improve recognition efficiency with the precondition of good recognition purpose.
Keywords
Kalman filters; aerospace computing; image recognition; military computing; missile guidance; pattern matching; Kalman filter; air-air missile; infrared image recognition; molding board; pattern match method; target character prediction; weighted average method; Current measurement; Educational institutions; Feature extraction; Image edge detection; Pattern matching; Kalman filtering; eigenvalue; infrared image; prediction; target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6309071
Filename
6309071
Link To Document