Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands

doi:10.1109/TGRS.2017.2703598

OPT OpenIR > 光谱成像技术研究室

	Dimensionality Reduction by Spatial-Spectral Preservation in Selected Bands
	Zheng, Xiangtao; Yuan, Yuan; Lu, Xiaoqiang; Lu, XQ
作者部门	光学影像学习与分析中心
	2017-09-01
发表期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
卷号	55 期号:9 页码:5185-5197
产权排序	1
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.
文章类型	Article
关键词	Band Selection Determinantal Point Process (Dpp) Dimensionality Reduction (Dr) Multiple Laplacian Eigenmaps (Mles)
学科领域	Geochemistry & Geophysics
WOS标题词	Science & Technology ; Physical Sciences ; Technology
DOI	10.1109/TGRS.2017.2703598
收录类别	SCI
关键词[WOS]	HYPERSPECTRAL IMAGE CLASSIFICATION ; PARTICLE SWARM OPTIMIZATION ; REMOTE-SENSING DATA ; DISCRIMINANT-ANALYSIS ; ATTRIBUTE PROFILES ; INFORMATION ; ALGORITHMS ; GEOMETRY ; SUBSET ; FUSION
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
项目资助者	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)
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000408346600027
引用统计	被引频次：64[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/29244
专题	光谱成像技术研究室
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Dimensionality Reduc（2869KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	请求全文