RAW SAR DATA-COMPRESSION USING VECTOR QUANTIZATION

被引：10
|
作者：
MOUREAUX, JM [1 ]
GAUTHIER, P [1 ]
BARLAUD, M [1 ]
BELLEMAIN, P [1 ]
机构：
[1] AEROSPATIALE ETAB CANNES, DIV ESPACE & DEF, F-06322 CANNES, FRANCE
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1995年 / 16卷 / 16期
关键词：
D O I：
10.1080/01431169508954621
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Synthetic Aperture Radar (SAR) is a day/night and all-weather active imaging system, which can record images with a fine spatial resolution independent of the sensor altitude. All these characteristics make the SAR a valuable instrument for Earth observation. However, computer system technology does not currently enable spaceborne processing and storage of the great amount of data required to synthesize an image. Vector quantization is a lossy numerical method for signal compression. This method can be implemented aboard remote systems and is designed to reduce the bit stream of transmission over a noiseless channel. Analysis and prospects for this compression algorithm, applied on raw SAR data, are presented.
引用
收藏
页码：3179 / 3187
页数：9
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