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

关键词：

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.

引用

页码：925 / 930

页数：4

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