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Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image
Wang, Guoli1,2; Wang, Xinchao3; Fan, Bin1; Pan, Chunhong1
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2017-06-01
Volume14Issue:6Pages:851-855
SubtypeArticle
AbstractThis letter proposes a novel rotation-invariant feature for object detection in optical remote sensing images. Different from previous rotation-invariant features, the proposed rotation-invariant matrix (RIM) can incorporate partial angular spatial information in addition to radial spatial information. Moreover, it can be further calculated between different rings for a redundant representation of the spatial layout. Based on the RIM, we further propose an RIM_ FV_ RPP feature for object detection. For an image region, we first densely extract RIM features from overlapping blocks; then, these RIM features are encoded into Fisher vectors; finally, a pyramid pooling strategy that hierarchically accumulates Fisher vectors in ring subregions is used to encode richer spatial information while maintaining rotation invariance. Both of the RIM and RIM_ FV_ RPP are rotation invariant. Experiments on airplane and car detection in optical remote sensing images demonstrate the superiority of our feature to the state of the art.
KeywordFeature Extraction Fisher Vector Object Detection Ring Pyramid Pooling (Rpp) Rotation-invariant Matrix (Rim)
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1109/LGRS.2017.2683495
WOS KeywordREMOTE-SENSING IMAGES ; TARGET DETECTION ; CLASSIFICATION ; GRADIENTS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61403375 ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology ; 61472119 ; 91338202)
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:000402092300013
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14525
Collection空天信息研究中心
Affiliation1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 101408, Peoples R China
3.Univ Illinois, Image Format & Proc Grp, Beckman Inst, Champaign, IL 61801 USA
Recommended Citation
GB/T 7714
Wang, Guoli,Wang, Xinchao,Fan, Bin,et al. Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(6):851-855.
APA Wang, Guoli,Wang, Xinchao,Fan, Bin,&Pan, Chunhong.(2017).Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(6),851-855.
MLA Wang, Guoli,et al."Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.6(2017):851-855.
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