Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image
文献类型:期刊论文
作者 | Wang, Guoli1,2![]() ![]() ![]() |
刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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出版日期 | 2017-06-01 |
卷号 | 14期号:6页码:851-855 |
关键词 | Feature Extraction Fisher Vector Object Detection Ring Pyramid Pooling (Rpp) Rotation-invariant Matrix (Rim) |
DOI | 10.1109/LGRS.2017.2683495 |
文献子类 | Article |
英文摘要 | This 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. |
WOS关键词 | REMOTE-SENSING IMAGES ; TARGET DETECTION ; CLASSIFICATION ; GRADIENTS |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000402092300013 |
资助机构 | National 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) |
源URL | [http://ir.ia.ac.cn/handle/173211/14525] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
作者单位 | 1.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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:自动化研究所
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