Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression

doi:10.1007/s11432-014-5165-x

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	Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression
	Wen Jia 1,2; Zhao JunSuo 1; Ma CaiWen2 ; Wang CaiLing 3
作者部门	光电跟踪与测量技术研究室
	2015-05-01
发表期刊	SCIENCE CHINA-INFORMATION SCIENCES
ISSN	1674733X
卷号	58 期号:5
产权排序	2
摘要	The compression method, first proposed in 2012, is based on the non-negative tensor decomposition for interference hyper-spectral image data. As a tensor is generated by a huge amount of interference hyper-spectral images, the multiplicative update algorithm is made extremely complicated, and even unfeasible. To reduce the computational cost and speed up the convergence, this paper, based on the characteristics of interference hyper-spectral images, develops a new algorithm using different down-sampling factors for different non-negative wavelet sub-band tensors. The experimental results showed that this algorithm could significantly shorten the running time, while maintaining a good compression performance compared with the conventional methods.
文章类型	Article
关键词	Interference Hyper-spectral Images Lasis Three-dimensional Lifting Wavelet Transform Non-negative Tensor Decomposition Image Compression
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s11432-014-5165-x
收录类别	SCI ; EI
关键词[WOS]	VISUAL DATA ; APPROXIMATION ; TRANSFORM ; LOSSY
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000353818200002
引用统计	被引频次：1[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/181661/22653
专题	光电跟踪与测量技术研究室
作者单位	1.Chinese Acad Sci, Inst Software, Sci & Technol Integrated Informat Syst Lab, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Xian Shiyou Univ, Coll Comp Sci, Xian 710065, Peoples R China
推荐引用方式 GB/T 7714	Wen Jia,Zhao JunSuo,Ma CaiWen,et al. Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression[J]. SCIENCE CHINA-INFORMATION SCIENCES,2015,58(5).
APA	Wen Jia,Zhao JunSuo,Ma CaiWen,&Wang CaiLing.(2015).Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression.SCIENCE CHINA-INFORMATION SCIENCES,58(5).
MLA	Wen Jia,et al."Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression".SCIENCE CHINA-INFORMATION SCIENCES 58.5(2015).

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