TY - GEN
T1 - An automatic target recognition algorithm based on support vector machine
AU - Zhang, He
AU - Li, Jie
AU - Xu, Bei Bei
PY - 2014
Y1 - 2014
N2 - To improve the performance of automatic target recognition technology and solve the problems of traditional methods, such as high false alarm rate and poor adaptability to environment changes, a new algorithm based on support vector machine is proposed. We have realized the feature extraction of the target and the parameter optimization of the support vector machine to get the support vector machine model applied to the target recognition of unknown images. Experiment results show that the algorithm has a good recognition effect, a fast recognition speed and certain anti-interference abilities based on sufficient samples training.
AB - To improve the performance of automatic target recognition technology and solve the problems of traditional methods, such as high false alarm rate and poor adaptability to environment changes, a new algorithm based on support vector machine is proposed. We have realized the feature extraction of the target and the parameter optimization of the support vector machine to get the support vector machine model applied to the target recognition of unknown images. Experiment results show that the algorithm has a good recognition effect, a fast recognition speed and certain anti-interference abilities based on sufficient samples training.
KW - Automatic target recognition
KW - Feature extraction
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=84893908105&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.496-500.1873
DO - 10.4028/www.scientific.net/AMM.496-500.1873
M3 - Conference contribution
AN - SCOPUS:84893908105
SN - 9783037859926
T3 - Applied Mechanics and Materials
SP - 1873
EP - 1876
BT - Frontiers of Manufacturing and Design Science IV
T2 - 4th International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2013
Y2 - 10 September 2013 through 12 September 2013
ER -