A review of current raw SAR data compression techniques

被引：0
作者：
El Boustani, A [1 ]
Brunham, K [1 ]
Kinsner, W [1 ]
机构：
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6, Canada
来源：
CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING 2001, VOLS I AND II, CONFERENCE PROCEEDINGS | 2001年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Synthetic aperture radar (SAR) is a sophisticated technique of all-weather radar imaging capable of producing fine detailed images from a moving platform. When such a radar is placed on-board a satellite, compression of the raw SAR signal is necessary to reduce the huge amount of collected data for downlink to a ground station within the bandwidth constraints. This is further exasperated by new high resolution imaging radars currently in development capable of producing significantly more data. This paper presents a review of current raw SAR data compression techniques which are classified into three different categories according to the method of quantization, scalar or vector, and to the domain of compression.
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页码：925 / 930
页数：4
相关论文
共 22 条
  • [1] Algra T, 2000, INT GEOSCI REMOTE SE, P2660, DOI 10.1109/IGARSS.2000.859673
  • [2] ARNOLD DV, 1987, THESIS BRINGHAM YOUN
  • [3] A COMPARISON OF SEVERAL ALGORITHMS FOR SAR RAW DATA-COMPRESSION
    BENZ, U
    STRODL, K
    MOREIRA, A
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (05): : 1266 - 1276
  • [4] Cover T. M., 2005, ELEM INF THEORY, DOI 10.1002/047174882X
  • [5] Curlander J. C., 1991, SYNTHETIC APERATURE
  • [6] D'Elia C, 2000, INT GEOSCI REMOTE SE, P2642, DOI 10.1109/IGARSS.2000.859667
  • [7] Fischer J, 1999, P INT GEOSC REM SENS, V4, P2261
  • [8] BLOCK ADAPTIVE QUANTIZATION OF MAGELLAN SAR DATA
    KWOK, R
    JOHNSON, WTK
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1989, 27 (04): : 375 - 383
  • [9] LEBEDEFF D, 1995, INT CONF ACOUST SPEE, P2511, DOI 10.1109/ICASSP.1995.480059
  • [10] LEBEDEFF D, 1995, THESIS U NICE SOPHIA
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