|Table of Contents|

SAR Raw Data Compression Using Vector Quantization Techniques

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2006年02期
Page:
157-161
Research Field:
Publishing date:
2006-04-30

Info

Title:
SAR Raw Data Compression Using Vector Quantization Techniques
Author(s):
GUAN Zhen-hongZHU Zhao-daZHU Dai-yin
College of Information Science and Technology,University of Aeronautics and Astronautics,Nanjing 210016,China
Keywords:
synthetic aperture radar vector quant izat ion tree-structured VQ sphericalVQ
PACS:
TN 957. 52
DOI:
-
Abstract:
Th is paper dea ls w ith the compression a lgorithms of synthetic aperture radar ( SAR ) raw data based on the vector quantization ( VQ ) techniques. The b lock adapt ive tree-structured vector quant iza tion ( BATSVQ ) algo rithm and the b lock adapt ive spherical vecto r quan tization ( BASVQ ) algorithm are presented. Compared w ith the b lock adaptive vector quant izat ion ( BAVQ ) algorithm, both of the proposedmethods using constrained vector quantizer take the full advan tage o f SAR raw data properties of a G aussian stationary process after a b lockw ise normalization. L ive SAR data imp lementat ions and quantitative analysis of resultant images show that a be tter trade-off betw een perfo rmance and comp lex ity is ach ieved by using the BATSVQ and BASVQ algorithms.

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Memo

Memo:
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Last Update: 2006-04-30