Learning Deep Dictionary for Hyperspectral Image Denoising

doi:10.1587/transinf.2014EDL8246

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 先进时空数据分析与学习

	Learning Deep Dictionary for Hyperspectral Image Denoising
	Huo, Leigang 1,2; Feng, Xiangchu 1; Huo, Chunlei2 ; Pan, Chunhong2
发表期刊	IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
	2015-07-01
卷号	E98D 期号:7 页码:1401-1404
文章类型	Article
摘要	Using traditional single-layer dictionary learning methods, it is difficult to reveal the complex structures hidden in the hyperspectral images. Motivated by deep learning technique, a deep dictionary learning approach is proposed for hyperspectral image denoising, which consists of hierarchical dictionary learning, feature denoising and fine-tuning. Hierarchical dictionary learning is helpful for uncovering the hidden factors in the spectral dimension, and fine-tuning is beneficial for preserving the spectral structure. Experiments demonstrate the effectiveness of the proposed approach.
关键词	Dictionary Learning Deep Learning Hyperspectral Image Denoising Fine-tuning
WOS标题词	Science & Technology ; Technology
DOI	10.1587/transinf.2014EDL8246
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000359474300017
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8904
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
作者单位	1.Xidian Univ, Sch Math & Stat, Xian, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Huo, Leigang,Feng, Xiangchu,Huo, Chunlei,et al. Learning Deep Dictionary for Hyperspectral Image Denoising[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2015,E98D(7):1401-1404.
APA	Huo, Leigang,Feng, Xiangchu,Huo, Chunlei,&Pan, Chunhong.(2015).Learning Deep Dictionary for Hyperspectral Image Denoising.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E98D(7),1401-1404.
MLA	Huo, Leigang,et al."Learning Deep Dictionary for Hyperspectral Image Denoising".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E98D.7(2015):1401-1404.

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