Multi-radar Super-resolution Imaging Based on Compressed Sensing

被引：0
|
作者：
Ye, Fan [1 ]
Liu, JiYing [1 ]
Zhu, Jubo [1 ]
机构：
[1] Natl Univ Def Technol, Coll Sci, Changsha, Hunan, Peoples R China
来源：
NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017) | 2017年 / 10420卷
关键词：
multi-radar imaging; super-resolution imaging; compressed sensing; sparsity;
D O I：
10.1117/12.2281906
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
In this paper, a technology of multi-radar imaging based on compressed sensing is proposed to improve image resolution. By constructing sample matrix, multi-radar super-resolution imaging is transformed to a compressed sensing problem. Utilizing the signal's sparsity, super-resolution image can be obtained by solving an optimization problem. Simulation shows effectiveness of this technology.
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页数：5
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