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

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光电测量技术实验室

	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
刊名	science china-information sciences
	2015-05-01
卷号	58 期号:5
关键词	interference hyper-spectral images LASIS three-dimensional lifting wavelet transform non-negative tensor decomposition image compression
ISSN号	1674733x
产权排序	2
合作状况	国内
英文摘要	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.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, information systems
研究领域[WOS]	computer science
关键词[WOS]	visual data ; approximation ; transform ; lossy
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000353818200002
公开日期	2015-04-03
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/22653]
专题	西安光学精密机械研究所_光电测量技术实验室
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).