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Dictionary learning based target detection for hyperspectral image
Zhang, Xiaorong1,2,3; Hu, Bingliang1; Pan, Zhibin2; Zheng, Xi4
2019
Conference Name5th Symposium on Novel Optoelectronic Detection Technology and Application
Source PublicationFifth Symposium on Novel Optoelectronic Detection Technology and Application
Volume11023
Conference Date2018-10-24
Conference PlaceXi'an, China
PublisherSPIE
Contribution Rank1
AbstractTarget detection of hyperspectral image has always been a hot research topic, especially due to its important applications in military and civilian remote sensing. This paper employs the idea of classification and proposes a novel detection framework which incorporates dictionary learning and discriminative information. Due to the fact that target pixels lie in different subspace with background pixels, a novel detection model is proposed. In addition, a linear kernel is applied to project the image data into high-dimensional space, separating the target pixels and background pixels. Synthetic image and popular real hyperspectral image are used to evaluate our algorithm. Experimental results indicate that our proposed detector outperforms the traditional detection methods. © 2019 SPIE.
Department光谱成像技术实验室
DOI10.1117/12.2519943
Indexed ByEI
ISBN9781510627123
Language英语
ISSN0277786X; 1996756X
EI Accession Number20191506748653
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31384
Collection光谱成像技术实验室
Affiliation1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi'an; 710119, China;
2.Xi'An Jiaotong University, School of Electronic and Information Engineering, Xi'an; 710049, China;
3.University of Chinese Academy of Sciences, Beijing; 100039, China;
4.Institute of Earth Environment, Chinese Academy of Sciences, Xi'an; 710061, China
Recommended Citation
GB/T 7714
Zhang, Xiaorong,Hu, Bingliang,Pan, Zhibin,et al. Dictionary learning based target detection for hyperspectral image[C]:SPIE,2019.
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