DocumentCode :
2748388
Title :
Radar target recognition based on support vector machine
Author :
Li, Zhang ; Weida, Zhou ; Licheng, Jiao
Author_Institution :
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1453
Abstract :
Support vector machine is a new kind technique for pattern recognition. We study the classification mechanism of SVM in detail in this paper. Finally, the simulations are done according to SVM algorithm and the results show the advantage of it
Keywords :
learning automata; radar target recognition; SVM; radar target recognition; support vector machine; Image recognition; Neural networks; Pattern recognition; Radar imaging; Radar signal processing; Signal processing algorithms; Spatial resolution; Support vector machine classification; Support vector machines; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.893375
Filename :
893375
Link To Document :
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