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SAR target configuration recognition based on the biologically inspired model
Huang, Xiayuan1; Nie, Xiangli1; Wu, Wei1; Qiao, Hong1; Zhang, Bo2
2017-04-19
Source PublicationNEUROCOMPUTING
ISSN0925-2312
Volume234Pages:185-191
AbstractHow 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.
KeywordBiologically inspired model SAR target configuration recognition Episodic features Semantic features Aspect angle estimation
DOI10.1016/j.neucom.2016.12.054
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000395221800016
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/25052
Collection应用数学研究所
Affiliation1.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
Recommended Citation
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.
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