A universal adaptive vector quantization algorithm for space-borne S AR raw data

Codebook of conventional VQ cannot be generally used and needs real time onboard updating,which is hard to implement in spaceborne SAR system.In order to solve this problem,this paper analyses the characteristic of space-borne SAR raw data firstly,and then utilizes the distortion function of multidi...

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Bibliographic Details
Published in:中国科学：信息科学（英文版） 2012, Vol.55 (6), p.1280-1289
Main Author: QI HaiMing HUA Bin LI Xin YU WeiDong HONG Wen
Format: Article
Language:English
Subjects:
SAR系统
原始数据
多维空间
星载SAR
矢量量化算法
码书设计算法
联合概率密度函数
自适应
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Summary:Codebook of conventional VQ cannot be generally used and needs real time onboard updating,which is hard to implement in spaceborne SAR system.In order to solve this problem,this paper analyses the characteristic of space-borne SAR raw data firstly,and then utilizes the distortion function of multidimensional space as criterion,and finally the adaptive code book design algorithm is proposed according to the joint probability density function of the input data.Besides,the feasibility of the new algorithm in cascade with entropy coding and the robustness of the algorithm when error occurs during transmission are analysed based on the encoding and decoding scheme.Experimental results of real data show that codebook deriving from the new algorithm can be generally used and designed off-line,which makes VQ a practical algorithm for space-borne SAR raw data compression.
ISSN:1674-733X
1869-1919