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SAR target configuration recognition based on the biologically inspired model

文献类型：期刊论文

作者Huang, Xiayuan1; Nie, Xiangli1; Wu, Wei1; Qiao, Hong1; Zhang, Bo2
刊名NEUROCOMPUTING
出版日期2017-04-19
卷号234页码:185-191
关键词Biologically inspired model SAR target configuration recognition Episodic features Semantic features Aspect angle estimation
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]PROPERTY ; CORTEX
收录类别SCI
语种英语
WOS记录号WOS:000395221800016
源URL[http://ir.ia.ac.cn/handle/173211/14435]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
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
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.

入库方式： OAI收割

来源：自动化研究所

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