[1]关振红,朱兆达,朱岱寅,等.使用矢量量化技术压缩SAR原始数据[J].南京理工大学学报(自然科学版),2006,(02):157-161.
 GUAN Zhen-hong,ZHU Zhao-da,ZHU Dai-yin.SAR Raw Data Compression Using Vector Quantization Techniques[J].Journal of Nanjing University of Science and Technology,2006,(02):157-161.
点击复制

使用矢量量化技术压缩SAR原始数据
分享到:

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

卷:
期数:
2006年02期
页码:
157-161
栏目:
出版日期:
2006-04-30

文章信息/Info

Title:
SAR Raw Data Compression Using Vector Quantization Techniques
作者:
关振红;朱兆达;朱岱寅;
南京航空航天大学信息科学与技术学院, 江苏南京210016
Author(s):
GUAN Zhen-hongZHU Zhao-daZHU Dai-yin
College of Information Science and Technology,University of Aeronautics and Astronautics,Nanjing 210016,China
关键词:
合成孔径雷达 矢量量化 树型矢量量化 球形矢量量化
Keywords:
synthetic aperture radar vector quant izat ion tree-structured VQ sphericalVQ
分类号:
TN 957. 52
摘要:
该文研究基于矢量量化技术的合成孔径雷达(SAR)原始数据压缩算法,提出了块自适应树型矢量量化(BATSVQ)算法和块自适应球形矢量量化(BASVQ)算法。与块自适应矢量量化(BAVQ)算法相比较,该文提出的算法采用约束型矢量量化技术,能够充分利用SAR原始数据经过自适应块处理后在较小的范围内具有稳定高斯分布的特性。采用以上算法对SAR实测数据进行了验证,并比较图像及其性能参数,结果表明BATSVQ算法和BASVQ算法能够获得算法性能和实现复杂度之间的合理折衷。
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.

参考文献/References:

[ 1] LindeY, Buzo A, Gray R M. An algorithm fo r vec to r quantizer design [ J]. IEEE Trans Comm, 1980, 28 ( 1): 84- 95.
[ 2] 孙圣和, 陆哲明. 矢量量化技术及应用[M ]. 北京: 科学出版社, 2002.
[ 3] Ge rsho A, Gray R M. Vector quantization and signa l compression[M ]. BostonMA: K luwe r, 1990.
[ 4] Zador P. Asymptotic quantization error o f continuous signals and the ir quantization dmi ension[ J]. IEEE Transactions on inform ation theory, 1982, 28( 2): 139- 149.
[ 5] Kw ok R. Adaptive quantization o fM age llan SAR da ta [ J]. IEEE Transactions on Geosc ience and Rem o te Sens ing, 1989, 27( 4): 375- 383.
[ 6] Benz U, S trod l K, M oreia A. A comparison for SAR raw da ta com repssion[ J] . IEEE Transactions on geosc ience and rem ote sens ing, 1995, 33 ( 5): 1 266 - 1 276.
[ 7] Conw ay J H, Slone N J. Sphere pack ing s, lattices and g roups[M ]. New York: Springer Verlag, 1988.
[ 8] Conw ay J H, Slone N J. A fast encoding me thod fo r lattice codes and quantizers[ J] . IEEE Transactions on info rma tion theory, 1983, 29( 6): 820- 824.
[ 9] 巍钟铨. 合成孔径雷达卫星[M ]. 北京: 科学出版 社, 2001.

相似文献/References:

[1]刘甲壬,陶纯堪,卞松林.等效的合成孔径雷达数据片[J].南京理工大学学报(自然科学版),1991,(02):1.
[2]刘 峰,牟善祥,李文亮,等.时域校正距离走动大斜视ECS成像算法[J].南京理工大学学报(自然科学版),2013,37(05):748.
 Liu Feng,Mu Shanxiang,Li Wenliang,et al.Extended chirp scaling algorithm for high squint mode SAR with range-walk correction in time domain[J].Journal of Nanjing University of Science and Technology,2013,37(02):748.
[3]李传中,邓钰栋,苏卫民,等.面向像素的并行快速后向投影算法[J].南京理工大学学报(自然科学版),2014,38(05):651.
 Li Chuanzhong,Deng Yudong,Su Weimin,et al.Pixel-oriented paralleled fast back projection algorithm[J].Journal of Nanjing University of Science and Technology,2014,38(02):651.

备注/Memo

备注/Memo:
作者简介: 关振红( 1972- ), 男, 辽宁辽阳人, 讲师, 博士, 主要研究方向: 雷达信号处理, E-mail:zhenhongguan@ sina. com。
更新日期/Last Update: 2006-04-30