SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding
Huang, Xiayuan1; Qiao, Hong2; Zhang, Bo1
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2016-02-01
Volume13Issue:2Pages:222-226
SubtypeArticle
AbstractThis letter proposes a method that can preserve the global and local discriminative information based on the tensor representation to achieve feature extraction for synthetic aperture radar (SAR) target configuration recognition. We model SAR images of targets with different configurations as different manifolds, and each manifold is represented as a collection of maximal linear patches (MLPs), each depicted by a subspace. The manifold-to-manifold distance and subspace-to-subspace distance are used to maintain the global discriminative structure of data. Meanwhile, point-to-point distance (PPD) in an MLP is exploited to keep the local discriminative information of data. These two terms are then integrated to maintain the structure of data. Experimental results on the moving and stationary target automatic recognition (MSTAR) database demonstrate the effectiveness of the proposed method.
KeywordGlobal Discriminant Local Discriminant Manifold-to-manifold Distance (Mmd) Multiple Manifolds Synthetic Aperture Radar (Sar) Target Configuration Recognition Tensor
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/LGRS.2015.2506659
WOS KeywordDIMENSIONALITY REDUCTION ; REPRESENTATION ; PROPERTY
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61379093 ; 11131006)
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000369483500021
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11339
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Affiliation1.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Huang, Xiayuan,Qiao, Hong,Zhang, Bo. SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2016,13(2):222-226.
APA Huang, Xiayuan,Qiao, Hong,&Zhang, Bo.(2016).SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,13(2),222-226.
MLA Huang, Xiayuan,et al."SAR Target Configuration Recognition Using Tensor Global and Local Discriminant Embedding".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 13.2(2016):222-226.
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