期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于DCT的SAR原始数据压缩算法分析 被引量：4

Analysis of SAR Raw Data Compression Algorithm Based on DCT
下载PDF
导出
摘要 根据合成孔径雷达(SAR)原始数据经离散余弦变换(DCT)后的系数特性,分析了在DCT域按各子带能量分布作变比特块自适应量化的算法DCT域块自适应量化(DCT-BAQ),并将该方法与时域BAQ算法作了比较。结合一组实测SAR原始数据,用两种算法分别进行了压缩和解压缩,并计算了数据域及图像域信噪比,给出了两种压缩算法所成的图像。实验证明,在相同的比特率下,DCT-BAQ算法的数据域和图像域信噪比均比时域BAQ算法高。数据域信噪比增加1.38～1.94dB,图像域信噪比增加1.56～1.91dB。加之DCT变换是实数运算、有快速算法,所以将它用于SAR原始数据压缩有一定的优越性。 According to the characteristics of SAR raw data coefficients in DCT transform domain, an algorithm of variable bit rate allocation according to energey distribution of every subband in DCT transform domain-Block Adaptive Quantization comparison between DCT-BAQ and time domain in DCT domain （DCT-BAQ） is analyzed. The BAQ is analysed. By using a real SAR raw data, compression and decompression are performed respectively. The SQNR and SDNR are achieved. The images correspond to the two algorithms are gained. The experiments manifest that with same bit rate, SQNR and SDNR of DCT-BAQ surpass that of time domain BAQ. In addition, as DCT transform has the characteristics of real number operation and fast speed algorithm, therefore, DCT-BAQ has some advantage in the domain of SAR raw data compression.
作者 曾尚春 朱兆达
机构地区 西南民族大学电气信息工程学院 南京航空航天大学信息科学与技术学院
出处 《电讯技术》 北大核心 2009年第3期56-60,共5页 Telecommunication Engineering
关键词 合成孔径雷达 数据压缩 离散余弦变换 块自适应量化 SAR data compression DCT block adaptivequantization（BAQ）
分类号 TN957.52 [电子电信—信号与信息处理]
  • 相关文献

参考文献12

  • 1D'Elia C, Poggi G. Verdoliva L. Compression of SAR data through range focusing and variable-rate trellis-coded quantization[J]. IEEE Trans. on Image Processing, 2001, 10(9): 1278-1286.
  • 2Chris Oliver, Shaun Quegan. Understanding Synthetic Aperture Radar Images[M]. Boston London, Artech House, 1998.
  • 3Benz U, Strodl K, Moreia A. A comparison of several algorithms for SAR raw data Compression[J]. 1EEE Trans. on Geoscience and Remote Sensing, 1995, 33(5): 1266-1276.
  • 4Benz U. A Fuzzy Block Adaptive Quantizer(FBAQ) for Synthetic Aperture Radar[C]//Proc. Fuzz. Orlando,FL, IEEE,,1994:1583-1585.
  • 5Lebedeff D, Mathieu P, Barlaud M, et al. Adaptive Vector Quantization for Raw SAR Data[J].IEEE Transactions on Geoscience and Remote Sensing, 1995, 33(4): 2511-2514.
  • 6Moreira A, Blaeser F. Fusion of Block Adaptive and Vector Quantizer for Efficient SAR Data Compression[C]//Proc., IGARSS'93, (vol.4) Tokyo, 1993:1583-1585.
  • 7Strodl K, Benz U, Moreira A. A Comparison of Several Algorithms for on-board SAR Raw Data Reduction[C]//SPIE (Vol.2316), 1994: 58-66.
  • 8毛用才,胡奇英.随机过程[M].西安:西安电子科技大学出版社,2001.
  • 9Pascazio V, Schirinzi G. SAR Raw Data Compression by Subband Coding[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003,41(5): 964-976.
  • 10Max J. Quantizing for Minimum Distortion[J]. IEEE Transactions on Information Theory, 1980, 28(1): 84-95.

二级参考文献16

  • 1Kenneth, Castleman R. Digital Image Processing[M]. Prentice Hall,Inc. 1996. 110-111.
  • 2Lopes A, Touzi R. Nezry E. Adaptive Speckle Filters and Scene Heterogeneity[J]. IEEE Trans. on Gcesei. Remote Sensing, 1990, 28(11): 992- 1000.
  • 3Xie Hua, Pierce L E, Ulaby F T. SAR Speckle Reduction Using Wavelet Denoising and Markov Random Field Modeling[J]. IEEE Trans. on Geoscience and Remote Sensing, 2002,40(10): 2196-2211.
  • 4Xie Hua, Ulaby F T, Pierce L E. Performance Metrics for SAR Speckle-Suppression Filters [A]. Geescience and Remote Sensing Symposium, 1999. IGARSS ' 99 Proceedings[C]. IEEE 1999Intarnational, 1999, 3(28-2):1540- 1542.
  • 5Touzi R, Lopes A, Bousquet P. A Statistical and Geometrical Edge Detector for SAR Images[J]. IEEE Trans. on Geosci ence and Remote Sensing, 1988, 26(11): 764-773.
  • 6Hagg Wilhlm, Sties Manfre. Efficient Speckle Filtering of SAR Images[C]. Internaiional Geoseience and Remote Sensing Symposium,Pasadena, California, USA, 1994. 2140- 2142.
  • 7Foucher S, Benie G B, Boucher J M. Multiscale MAP Filtering of SAR Imagesg[J]. IEEE Trans. on Image Processing, 2001, 10(1) :49- 60.
  • 8Lee J S. Digital Image Enhancement and Noise Filtering by Use LocalStatistics[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1980, 2(2): 165 - 168.
  • 9Frost V S, Stiles J A, Shanmugan KS,et al. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise [J].IEEE Trans. on Pattem Analysis and Machine Intelligence, 1982, 4(2): 157- 166.
  • 10Kuan DT, Sawchuk A A, Strand TC,et al. Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1985,7(2): 165 - 177.

共引文献21

同被引文献62

  • 1关振红,朱岱寅,朱兆达.SAR原始数据压缩技术研究[J].南京航空航天大学学报,2005,37(3):325-329. 被引量：4
  • 2陈海波,胡东辉,丁赤飚,吴一戎.基于韦布尔模型的合成孔径雷达数据饱和校正方法研究[J].电子与信息学报,2005,27(5):775-778. 被引量：3
  • 3胡晓新,王岩飞,秦蕾.基于提升小波的SAR原始数据压缩算法[J].电子与信息学报,2006,28(5):919-922. 被引量：8
  • 4关振红,朱兆达,朱岱寅.使用变换域编码技术压缩SAR原始数据[J].电讯技术,2006,46(5):122-126. 被引量：1
  • 5Kwok R and Johnson W T K.Block adaptive quantization of Magellan SAR data[J].IEEE Transactions on Geoscience and Remote Sensing,1989,27(4):375-383.
  • 6Benz U,Strodl K,and Moreira A.A comparison of several algorithms for SAR raw data compression[J].IEEE Transactions on Geoscience and Remote Sensing,1995,33(5):1266-1276.
  • 7Lebedeff D,Mathieu P,and Barlaud E,et al..Adaptive vector quantization for raw SAR data[C].International Conference on Acoustics,Speech,and Signal Processing.USA,1995,4:2511-2514.
  • 8Pascazio V,and Schirinzi G.Wavelet transform coding for SAR raw data compression[C].International Geoscience and Remote Sensing Symposium Proceedings.Hamburg,Germany,1999,4:2251-2253.
  • 9Bhattacharya S,Blumensath T,and Mulgrew B,at el..Synthetic Aperture Radar raw data encoding using Compressed Sensing[C].IEEE Radar Conference.Italy,2008:1-5.
  • 10Qi Hai-ming,Yu Wei-dong,and Yuan Xin-zhe,et al..Performance evaluation of amplitude-phase algorithm for SAR raw data compression[C].IEEE International Conference on,Geoscience and Remote Sensing Symposium,USA,2006:809-812.

引证文献4

二级引证文献11

电讯技术
2009年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部