QQ客服 官方微博 反馈留言

	Sparse Tensor-Based Dimensionality Reduction for Hyperspectral Spectral-Spatial Discriminant Feature Extraction
	Liu, Zhi; Tang, Bo; He, Xiaofu; Qiu, Qingchen; Wang, Hongjun
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2017
卷号	14期号:10页码:1775-1779
关键词	Dimensionality reduction (DR) hyperspectral image (HSI) sparse factorization spectral-spatial feature extraction tensor discriminant analysis
DOI	10.1109/LGRS.2017.2734960
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4596927
专题	山东大学
作者单位	1.Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Shandong, Peoples R China. 2.Co
推荐引用方式 GB/T 7714	Liu, Zhi,Tang, Bo,He, Xiaofu,et al. Sparse Tensor-Based Dimensionality Reduction for Hyperspectral Spectral-Spatial Discriminant Feature Extraction[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(10):1775-1779.
APA	Liu, Zhi,Tang, Bo,He, Xiaofu,Qiu, Qingchen,&Wang, Hongjun.(2017).Sparse Tensor-Based Dimensionality Reduction for Hyperspectral Spectral-Spatial Discriminant Feature Extraction.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(10),1775-1779.
MLA	Liu, Zhi,et al."Sparse Tensor-Based Dimensionality Reduction for Hyperspectral Spectral-Spatial Discriminant Feature Extraction".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.10(2017):1775-1779.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。