Hyperspectral imagery compression via SLMS filter and multiband lookup tables

	Hyperspectral imagery compression via SLMS filter and multiband lookup tables
	Song, Jinwei; Zhang, Zhongwei; Chen, Xiaomin
刊名	Journal of Computational Information Systems
	2013
卷号	9 期号:13 页码:5345-5351
ISSN号	1553-9105
通讯作者	Song, J. (songjinwei1983@gmail.com)
英文摘要	Hyperspectral Imagery contains massive spectral and spatial information of the ground radiance. In order to reduce the storage volume and bandwidth requirement of such imagery, a new hyperspectral imagery lossless compression algorithm which uses the Signed Least Mean Square (SLMS) Filter and Multiband Lookup Tables (MLUT) is proposed and implemented in this paper. The experimental results illustrate that SLMS filter produces high compression ratio. However, it is not sensitive to the calibration artifact in the calibrated imagery. The Multiband Lookup Tables algorithm can promote the result of SLMS filter by exploiting the calibration artifacts when compressing the calibrated data. MLUT is implemented and compared with other techniques that take advantage of the calibration artifacts. The results show that MLUT generates compatible performance in the lowest complexity. © 2013 by Binary Information Press.
收录类别	EI
语种	英语
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/4984]
专题	国家空间科学中心_空间技术部
推荐引用方式 GB/T 7714	Song, Jinwei,Zhang, Zhongwei,Chen, Xiaomin. Hyperspectral imagery compression via SLMS filter and multiband lookup tables[J]. Journal of Computational Information Systems,2013,9(13):5345-5351.
APA	Song, Jinwei,Zhang, Zhongwei,&Chen, Xiaomin.(2013).Hyperspectral imagery compression via SLMS filter and multiband lookup tables.Journal of Computational Information Systems,9(13),5345-5351.
MLA	Song, Jinwei,et al."Hyperspectral imagery compression via SLMS filter and multiband lookup tables".Journal of Computational Information Systems 9.13(2013):5345-5351.