CORC  > 北京航空航天大学
A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition
Yue, Z.; Gao, F.; Xiong, Q.; Wang, J.; Huang, T.; Yang, E.; Zhou, H.
刊名Cognitive Computation
2019
关键词Automatic target recognition Convolution Discriminant analysis Image recognition Machine learning Matrix algebra Neural networks Probability Radar imaging Supervised learning Synthetic aperture radar Class probabilities Cognitive learning Convolutional neural network Linear discriminant analysis Recognition accuracy Semi- supervised learning Semi-supervised method Stationary targets Radar target recognition
ISSN号18669956
DOI10.1007/s12559-019-09639-x
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5920780
专题北京航空航天大学
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GB/T 7714
Yue, Z.,Gao, F.,Xiong, Q.,et al. A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition[J]. Cognitive Computation,2019.
APA Yue, Z..,Gao, F..,Xiong, Q..,Wang, J..,Huang, T..,...&Zhou, H..(2019).A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition.Cognitive Computation.
MLA Yue, Z.,et al."A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition".Cognitive Computation (2019).
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