基于低秩矩阵近似的低噪宽幅热红外成像技术
Received:August 16, 2017  Revised:September 12, 2017  点此下载全文
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Author NameAffiliationE-mail
YANG Xuan Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences yx90107@sina.com 
WANG Yi-Kun Key Laboratory Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences of Space  
HAN Gui-Cheng Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences  
LIU Min Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences  
YAO Bo Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences  
SHU Rong Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences  
QI Hong-Xing Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences qhx@mail.sitp.ac.cn 
中文摘要:为解决强背景弱信号场景下热红外成像系统噪声制约图像信噪比的问题,提出了一种基于低秩矩阵近似理论的低噪宽幅热红外成像技术。利用面阵摆扫方式实现宽幅扫描成像并构建严格的观测矩阵,通过加权核范数最小化方法求解去噪的低秩矩阵形式。试验证明该技术具有较高的峰值信噪比与降噪鲁棒性,在宽幅成像的同时也提高了探测灵敏度。研究成果在红外弱目标识别、广域侦查等领域具有一定应用价值。
中文关键词:热红外成像  面阵摆扫  低秩矩阵近似  降噪
 
Denoised and wide swath thermal imaging technology based on low rank matrix approximation
Abstract:A denoised and wide swath thermal imaging technology based on low rank matrix approximation (LRMA) was proposed to solve the problem of low signal-to-noise ratio (SNR) of thermal imaging system noise in strong background and weak signal scene. This technology utilized array whisk broom mode to realize wide swath imaging and construct strict observations, the denoising low-rank matrix of observations was solved via weighted nuclear norm minimization (WNNM). Experiments showed that the technology had high peak signal to noise ratio (PSNR) and denoising robustness, both imaging width and detection sensitivity was improved. The technology have certain application value in the field of weak target recognition and large area investigation.
keywords:thermal  imaging, array  whisk broom, low  rank matrix  approximation, denoising
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