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空谱联合预测高光谱图像无损压缩rice算法
Alternative TitleSpatial-spectral associated prediction-based rice algorithm for hyperspectral image lossless compression
陈永红; 史泽林; 赵怀慈; 李德强
Department光电信息研究室
Source Publication仪器仪表学报
ISSN0254-3087
2010
Volume31Issue:1Pages:105-110
Indexed ByEI ; CSCD
EI Accession number20101312808674
CSCD IDCSCD:3828404
Contribution Rank1
Funding Organization国家自然科学基金(60603097)资助项目
Keyword空谱联合预测 Rice算法 高光谱图像 无损压缩 最优编码参数选择
Abstract针对rice算法低维预测不能有效降低高光谱数据冗余问题,提出基于空谱联合预测的低复杂度rice算法,应用于高光谱图像无损压缩。根据高光谱图像三维数据特征建立三维预测模型,利用相邻波段谱间相关系数进行联合预测系数分配,有效地减少了高光谱图像空间和谱间冗余。提出基于预测误差均值的最优编码参数选择算法,计算复杂度由O(N)降为O(1)。实验结果表明,本文方法提高无损压缩比5%~40%,编码时间较经典rice算法缩短了4%以上,有利于实时处理和工程实现。
Other AbstractAiming at the problem that the low-dimensional predictors of rice algorithm can not efficiently reduce the redundancy of hyperspectral image data,a spatial-spectral associated prediction-based rice algorithm with low complexity is proposed and applied to hyperspectral image lossless compression.According to the three-dimensional characteristics of hyperspectral image,a three-dimensional prediction model is established and the correlation coefficient of neighboring bands is used to assign the associated pred...
Language中文
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/7142
Collection光电信息技术研究室
Corresponding Author陈永红
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院研究生院
Recommended Citation
GB/T 7714
陈永红,史泽林,赵怀慈,等. 空谱联合预测高光谱图像无损压缩rice算法[J]. 仪器仪表学报,2010,31(1):105-110.
APA 陈永红,史泽林,赵怀慈,&李德强.(2010).空谱联合预测高光谱图像无损压缩rice算法.仪器仪表学报,31(1),105-110.
MLA 陈永红,et al."空谱联合预测高光谱图像无损压缩rice算法".仪器仪表学报 31.1(2010):105-110.
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