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合成孔径雷达原始数据压缩

杨耀增

杨耀增. 合成孔径雷达原始数据压缩[J]. 电子与信息学报, 1997, 19(4): 538-543.
引用本文: 杨耀增. 合成孔径雷达原始数据压缩[J]. 电子与信息学报, 1997, 19(4): 538-543.
Yang Yaozheng . DATA COMPRESSION OF SYNTHETIC APERTURE RADAR(SAR) RAW DATA[J]. Journal of Electronics & Information Technology, 1997, 19(4): 538-543.
Citation: Yang Yaozheng . DATA COMPRESSION OF SYNTHETIC APERTURE RADAR(SAR) RAW DATA[J]. Journal of Electronics & Information Technology, 1997, 19(4): 538-543.

合成孔径雷达原始数据压缩

DATA COMPRESSION OF SYNTHETIC APERTURE RADAR(SAR) RAW DATA

  • 摘要: 本文首先论述了合成孔径雷达原始数据压缩的意义和重要性,接着简要回顾了它的发展历史,着重讨论了分块自适应量化(BAQ)和矢量量化(VQ)两种数据压缩方法.最后展望了合成孔径雷达原始数据压缩的发展前景.
  • Curlander J C, McDonough R N. Synthetic Aperture Radar Systems and Signal Processing. New York: John WileSons INC 1991, 283-294.[2]Zeoli G W. A lower bound on the data rate for synthetic aperture radar. IEEE Trans. on IT, 1976, IT-22(6): 708-715.[3]Lipes R G, Butman S A. Bandwidth compression of synthetic aperture radar imagery by quantization of raw radar data. Proceedings of the SPIE, 1977, 119: 107-114.[4]Wu Chialin. Optimal Sampling and Quantization of Synthetic Aperture Radar Signais. NASA-CR-157339, N78-28301, June 1978.[5]Li F, Held D, Huneycutt B, Zebker H. Simulation and Studies of Spaceborne Synthetic Aperture Radar Image Quality with Reduced Bit Rate. Proceedings of the Fifteenth International symposium on Remote Sensing of Environment Vol.l, May 1981, Ann Arbor Michgen: 259-270.[6]Lafrance P, Ousborne J J. Effects of reduced SAR azimuth processing. IEEE Trans. on AES, 1987, AES-23(2): 152-157.[7]Mango S A, Hoppel K W. Data Compression of Spaceborne Remotely Sensed Imager from Conherent and Inconherent Sensor Systems, Proc. IGARSS. 1989, 912-913.[8]Steinberg B D. Hard limiting in synthetic aperture singnal processing. IEEE Trans. on AES, 1975, AES-11(4): 556-561.[9]Franceschetti G, Pascazio V, Schirinzi G. Processing of signum coded SAR signal: Theory and experiments. IEE Proc.-F, 1991, 138(3): 192-198.[10]Alberti G, Franceschetti G, Pascazio V, Schirinzi G. Time-domain convolution of one-bit coded radar signals. IEE Proc.-F, 1991, 138(5): 438-444.[11]Xu Dongxiang, Yang Yaozeng. SAR Raw data Signum-Coded Imaging System, UN/CHINA/ESA Workshop on Microwave Remote Sensing Application, Beijing, 1994, Sept. 14-18.[12]肖永新,陈宗骘,舒士畏.利用信息论研究合成孔径雷达数据压缩.信息论与通信理论学术会议论文集,宁波:1995年10月,49-52.[13]肖永新.应用信息论研究合成孔径雷达:[博士学位论文].北京:中国科学院电子学研究所,1995年4月.[14]白平,杨汝良,陈宗骘.小波分析SAR原始数据压编.卫星遥感图象数据传输与压缩技术专题研讨会论文集,国防科工委,兰州:1996.[15]Joo T H, Held D. An adaptive quantization method for burst mode synthetic aperture. IEEE International Radar Conference, 1985, 385-390.[16]Kwok R, Johnson W T K. Block adaptive quantization of Magellan SAR data. IEEE Trans. on GE, 1989, GE-27(4): 375-383.[17]Caro E R. SIR-C The next generation spaceborne SAR, The Second Spaceborne Imaging Radar Symposium, April 1986, JPL.Ulaby F T, Moore R K, Fung A K. Microwave Remote Sensing: Active and Passive, Vo1.2, New York: Artech., 1986.[18]张安安.合成孔径雷达数据压缩方法的研究:[硕士学位论文].北京:中国科学院电子学研究所,1993年5月.[19]胡征,杨有为.矢量化原理与应用.西安:西安电子科技大学出版社,1988年6月.[20]Linde Y, Buzo A, Gray R M. An algorithm for vector quantization design, IEEE Trans. on Communications, 1980, COM-28(1): 84-95.[21]Read C J, Arnold D V, Cnabries D M, Jackson P L, Christiansen R W. Synthetic Aperture Radar Image Formation from Compressed Data Using a New Computation technique. IEEE AES Magazine, 1988:310.[22]Giotsos T, Vector Quantization Used to Reduce SAR Data Rates Proceeding of SPIE Vo1.1101, 1989, 3: 116-128.[23]许东翔.数据压编在合成孔径雷达中的应用:[硕士学位论文].北京:中国科学院电子学研究所,1994年12月.[24]齐煊.矢量量化及其在星载合成孔径雷达原始数据压缩中的应用:[硕士学位论文].北京:中国科学院电子学研究所,1995年6月.[25]Moreira A.[J].Blaser F. Fusion of Block Adaptive and Vector Quantizer for Efficient SAR Data Compression, Proc. IRARSS93 Vol. IV, Tokyo, Japan: August 18-2.1993,:-[26]Luttrell S P. Image Compression Using a Neural Network. Proceedings of IGARSS88 Symposium, 1988,1231-1237.
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出版历程
  • 收稿日期:  1996-01-31
  • 修回日期:  1996-07-25
  • 刊出日期:  1997-07-19

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