A universal adaptive vector quantization algorithm for space-borne SAR 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 mul...

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Bibliographic Details
Published in:Science China. Information sciences Vol. 55; no. 6; pp. 1280 - 1289
Main Authors: Qi, HaiMing, Hua, Bin, Li, Xin, Yu, WeiDong, Hong, Wen
Format: Journal Article
Language:English
Published: Heidelberg SP Science China Press 01.06.2012
Springer Nature B.V
Subjects:
Adaptive algorithms
Algorithms
Cascades
Computer Science
Data compression
Decoding
Encoding
Entropy
Error analysis
Information Systems and Communication Service
Probability density functions
Raw
Research Paper
Synthetic aperture radar
Vector quantization
block adaptive quantization (BAQ)
synthetic aperture radar (SAR)
compression
vector quantization (VQ)
raw data
ISSN:1674-733X, 1869-1919
Online Access:Get full text
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Description
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.
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ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-011-4316-6