Knowledge Commons of Institute of Automation,CAS
Learning Deep Dictionary for Hyperspectral Image Denoising | |
Huo, Leigang1,2; Feng, Xiangchu1; 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 | |
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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