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  4. 光学影像学习与分析中心
Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands

文献类型：期刊论文

作者Zheng, Xiangtao; Yuan, Yuan; Lu, Xiaoqiang; Lu, XQ
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2017-09-01
卷号55期号:9页码:5185-5197
关键词Band Selection Determinantal Point Process (Dpp) Dimensionality Reduction (Dr) Multiple Laplacian Eigenmaps (Mles)
ISSN号0196-2892
DOI10.1109/TGRS.2017.2703598
产权排序1
文献子类Article
英文摘要Dimensionality reduction (DR) has attracted extensive attention since it provides discriminative information of hyperspectral images (HSI) and reduces the computational burden. Though DR has gained rapid development in recent years, it is difficult to achieve higher classification accuracy while preserving the relevant original information of the spectral bands. To relieve this limitation, in this paper, a different DR framework is proposed to perform feature extraction on the selected bands. The proposed method uses determinantal point process to select the representative bands and to preserve the relevant original information of the spectral bands. The performance of classification is further improved by performing multiple Laplacian eigenmaps (LEs) on the selected bands. Different from the traditional LEs, multiple Laplacian matrices in this paper are defined by encoding spatial-spectral proximity on each band. A common low-dimensional representation is generated to capture the joint manifold structure from multiple Laplacian matrices. Experimental results on three real-world HSIs demonstrate that the proposed framework can lead to a significant advancement in HSI classification compared with the state-of-the-art methods.
学科主题Geochemistry & Geophysics
WOS关键词HYPERSPECTRAL IMAGE CLASSIFICATION ; PARTICLE SWARM OPTIMIZATION ; REMOTE-SENSING DATA ; DISCRIMINANT-ANALYSIS ; ATTRIBUTE PROFILES ; INFORMATION ; ALGORITHMS ; GEOMETRY ; SUBSET ; FUSION
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000408346600027
资助机构National Basic Research Program of China (Youth 973 Program)(2013CB336500) ; State Key Program of National Natural Science of China(60632018 ; National Natural Science Foundation of China(61472413) ; Chinese Academy of Sciences(KGZD-EW-T03 ; Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences(LSIT201408) ; 61232010) ; QYZDB-SSW-JSC015)
源URL[http://ir.opt.ac.cn/handle/181661/29244]  
专题西安光学精密机械研究所_光学影像学习与分析中心
通讯作者Lu, XQ
作者单位Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Zheng, Xiangtao,Yuan, Yuan,Lu, Xiaoqiang,et al. Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2017,55(9):5185-5197.
APA Zheng, Xiangtao,Yuan, Yuan,Lu, Xiaoqiang,&Lu, XQ.(2017).Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,55(9),5185-5197.
MLA Zheng, Xiangtao,et al."Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 55.9(2017):5185-5197.

入库方式： OAI收割

来源：西安光学精密机械研究所

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