DocumentCode :
2620813
Title :
Improved rule based rough set approach for target recognition
Author :
Yong, Liu ; Congfu, Xu ; Zhiyong, Yan ; Yunhe, Pan
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Volume :
2
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
550
Abstract :
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental algorithm in detail, especially analyze the temporal complexities of these two algorithms. Some comparable experiments have been completed in our "Information Fusion System for Communication Interception Information (IFS/CI2)". Experiment results show that the new algorithm is more efficient than the previous while the recognition ratio is satisfying.
Keywords :
knowledge based systems; matrix algebra; object recognition; rough set theory; target tracking; discernibility matrix; incremental target recognition; nonincremental algorithm; rule based rough set theory; temporal complexity; Algorithm design and analysis; Data mining; Databases; Educational institutions; Frequency; Kinematics; Reconnaissance; Set theory; Surveillance; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
Type :
conf
DOI :
10.1109/GRC.2005.1547352
Filename :
1547352
Link To Document :
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