NSSC OpenIR  > 空间技术部
Hypersepctral Imagery Compression via RLS filter
Jinwei SONG; Zhongwei ZHANG; Xiaomin CHEN; 北京8701信箱
Source PublicationElectronics Letters
KeywordSigned Least Mean Square Filter Multiband Lookup Tables Hyperspectral Imagery compression
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.
Indexed ByEI
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Corresponding Author北京8701信箱
Recommended Citation
GB/T 7714
Jinwei SONG,Zhongwei ZHANG,Xiaomin CHEN,et al. Hypersepctral Imagery Compression via RLS filter[J]. Electronics Letters,2013,21(8):5345-5351.
APA Jinwei SONG,Zhongwei ZHANG,Xiaomin CHEN,&北京8701信箱.(2013).Hypersepctral Imagery Compression via RLS filter.Electronics Letters,21(8),5345-5351.
MLA Jinwei SONG,et al."Hypersepctral Imagery Compression via RLS filter".Electronics Letters 21.8(2013):5345-5351.
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