A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images | |
Gao Fei; Wang Meng; Wang Jun; Yang Erfu; Zhou Huiyu | |
刊名 | CHINESE JOURNAL OF ELECTRONICS
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2019 | |
卷号 | 28页码:423-429 |
关键词 | Synthetic aperture radar (SAR) Convolution neural network (CNN) Classification Linear separability Objective function |
ISSN号 | 1022-4653 |
DOI | 10.1049/cje.2018.12.001 |
URL标识 | 查看原文 |
收录类别 | SCIE |
WOS记录号 | WOS:000462555000030 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5920693 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Gao Fei,Wang Meng,Wang Jun,et al. A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images[J]. CHINESE JOURNAL OF ELECTRONICS,2019,28:423-429. |
APA | Gao Fei,Wang Meng,Wang Jun,Yang Erfu,&Zhou Huiyu.(2019).A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images.CHINESE JOURNAL OF ELECTRONICS,28,423-429. |
MLA | Gao Fei,et al."A Novel Separability Objective Function in CNN for Feature Extraction of SAR Images".CHINESE JOURNAL OF ELECTRONICS 28(2019):423-429. |
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