SAR target configuration recognition based on the biologically inspired model

doi:10.1016/j.neucom.2016.12.054

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	SAR target configuration recognition based on the biologically inspired model
	Huang, Xiayuan1 ; Nie, Xiangli1 ; Wu, Wei1 ; Qiao, Hong1 ; Zhang, Bo 2
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	被引频次：9[WOS] [WOS记录] [WOS相关记录]
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.

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