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Building Regional Covariance Descriptors for Vehicle Detection

文献类型：期刊论文

作者Chen, Xueyun1,2; Gong, Ren-Xi1,2; Xie, Ling-Ling1,2; Xiang, Shiming1,2; Liu, Cheng-Lin1,2; Pan, Chun-Hong1,2
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2017-04-01
卷号14期号:4页码:524-528
关键词Deep Convolutional Neural Networks (Dcnns) Regional Covariance Descriptor (Rcd) Vehicle Detection
DOI10.1109/LGRS.2017.2653772
文献子类Article
英文摘要We study the question of building regional covariance descriptors (RCDs) for vehicle detection from highresolution satellite images. A unified way is proposed to build RCD features by constant convolutional kernels in the forms of 2-D masks. Two novel formulas are designed to construct different RCD types based upon one or two convolutional masks, obtaining ten novel RCD features by four simple constant convolutional masks. Experiments show that such convolutional-mask- based RCDs outperform the previous image-derivative-based RCDs, the popular local binary patterns (LBPs), the histogram of oriented gradients (HOGs), and LBP+HOG. Furthermore, feeding to nonlinear support vector machines (SVMs) of two kernel types [L-1 kernel and radial basis function (RBF)], these RCDs outperform four known deep convolutional neural networks: AlexNet, GoogLeNet, CaffeNet, and LeNet, as well as their fine-tuned models by their well-trained weights of imageNet classification. Among three popular classic classifiers we have tested in the experiments, nonlinear SVMs outperform BP and Adaboost obviously, and L-1 kernel exceeds RBF slightly.
WOS关键词CLASSIFICATION ; IMAGES
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000399952000012
资助机构National Natural Science Foundation of China(61661006 ; 61561007 ; 91646207)
源URL[http://ir.ia.ac.cn/handle/173211/15271]  
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.Guangxi Univ, Nanning 530004, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Xueyun,Gong, Ren-Xi,Xie, Ling-Ling,et al. Building Regional Covariance Descriptors for Vehicle Detection[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(4):524-528.
APA Chen, Xueyun,Gong, Ren-Xi,Xie, Ling-Ling,Xiang, Shiming,Liu, Cheng-Lin,&Pan, Chun-Hong.(2017).Building Regional Covariance Descriptors for Vehicle Detection.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(4),524-528.
MLA Chen, Xueyun,et al."Building Regional Covariance Descriptors for Vehicle Detection".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.4(2017):524-528.

入库方式： OAI收割

来源：自动化研究所

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