中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hypersepctral Imagery Compression via RLS filter

文献类型:期刊论文

作者Jinwei SONG ; Zhongwei ZHANG ; Xiaomin CHEN
刊名Electronics Letters
出版日期2013
卷号21期号:8页码:5345-5351
关键词Signed Least Mean Square Filter Multiband Lookup Tables Hyperspectral Imagery Compression
ISSN号0013-5194
通讯作者北京8701信箱
中文摘要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.
学科主题空间技术
收录类别EI
语种英语
源URL[http://ir.cssar.ac.cn/handle/122/807]  
专题国家空间科学中心_空间技术部
推荐引用方式
GB/T 7714
Jinwei SONG,Zhongwei ZHANG,Xiaomin CHEN. Hypersepctral Imagery Compression via RLS filter[J]. Electronics Letters,2013,21(8):5345-5351.
APA Jinwei SONG,Zhongwei ZHANG,&Xiaomin CHEN.(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.

入库方式: OAI收割

来源:国家空间科学中心

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