COMPRESSED SENSING FOR SYNTHETIC APERTURE RADAR IMAGING

被引：19
|
作者：
Patel, Vishal M. [1 ]
Easley, Glenn R. [1 ]
Healy, Dennis M., Jr. [1 ]
Chellappa, Rama [1 ]
机构：
[1] Univ Maryland, College Pk, MD 20742 USA
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
compressed sensing; SAR; RECONSTRUCTION;
D O I：
10.1109/ICIP.2009.5414307
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we introduce a new Synthetic Aperture Radar (SAR) imaging modality that provides a high resolution map of the spatial distribution of targets and terrain based on a significant reduction in the number of transmitted and/or received electromagnetic waveforms. This new imaging scheme, which requires no new hardware components, allows the aperture to be compressed and presents many important applications and advantages among which include resolving ambiguities, strong resistance to counter-mesasures and interception, and reduced on-board storage constraints.
引用
收藏
页码：2141 / 2144
页数：4
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