Knowledge Commons of Institute of Automation,CAS
SAR target configuration recognition based on the biologically inspired model | |
Huang, Xiayuan1; Nie, Xiangli1; Wu, Wei1; Qiao, Hong1; Zhang, Bo2 | |
发表期刊 | NEUROCOMPUTING |
2017-04-19 | |
期号 | 234页码:185-191 |
文章类型 | Article |
摘要 | How to extract proper features is very important for synthetic aperture radar (SAR) target configuration recognition. However, most of feature extraction methods are hand-designed and usually can not achieve a satisfactory performance. In this paper, we propose a novel method based on the biologically inspired model to extract features automatically from limited data. Specifically, we learn episodic features (containing the key components and their spatial relations) and semantic features (i.e., semantic descriptions of the key components) which are two important types of features for the human cognition process. Episode features are learned through a deep neural network (DNN) and then semantic geometric features of the key components are defined. Moreover, SAR images are very sensitive to aspect angles. Therefore, we use episode features to estimate aspect angles of testing samples for the final recognition. This paper is a preliminary study and the preliminary experimental results on the moving and stationary target automatic recognition (MSTAR) database demonstrate the effectiveness of the proposed method. |
关键词 | Biologically Inspired Model Sar Target Configuration Recognition Episodic Features Semantic Features Aspect Angle Estimation |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.neucom.2016.12.054 |
关键词[WOS] | PROPERTY ; CORTEX |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000395221800016 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14435 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Appl Math, AMSS, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Huang, Xiayuan,Nie, Xiangli,Wu, Wei,et al. SAR target configuration recognition based on the biologically inspired model[J]. NEUROCOMPUTING,2017(234):185-191. |
APA | Huang, Xiayuan,Nie, Xiangli,Wu, Wei,Qiao, Hong,&Zhang, Bo.(2017).SAR target configuration recognition based on the biologically inspired model.NEUROCOMPUTING(234),185-191. |
MLA | Huang, Xiayuan,et al."SAR target configuration recognition based on the biologically inspired model".NEUROCOMPUTING .234(2017):185-191. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
HXY-NC.pdf(1628KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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