NSSC OpenIR  > 空间技术部
Hyperspectral imagery compression via SLMS filter and multiband lookup tables
Song, Jinwei; Zhang, Zhongwei; Chen, Xiaomin; Song, J. (songjinwei1983@gmail.com)
Department空间技术部
Source PublicationJournal of Computational Information Systems
2013
Volume9Issue:13Pages:5345-5351
ISSN1553-9105
Language英语
AbstractHyperspectral 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.
Indexed ByEI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4984
Collection空间技术部
Corresponding AuthorSong, J. (songjinwei1983@gmail.com)
Recommended Citation
GB/T 7714
Song, Jinwei,Zhang, Zhongwei,Chen, Xiaomin,et al. 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,&Song, J. .(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.
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