红外与毫米波学报2018，Vol.37Issue(3)：296-301,306,7.DOI:10.11972/j.issn.1001-9014.2018.03.008
基于低秩矩阵近似的低噪宽幅热红外成像技术
Denoised and wide swath thermal imaging technology based on low rank matrix approximation
摘要
Abstract
A denoised and wide swath thermal imaging technology based on low rank matrix approxima-tion ( LRMA) was proposed to solve the problem of low signal-to-noise ratio ( SNR) of thermal ima-ging 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 of imaging width and detection sensitivity were improved.The technology has certain application value in the field of weak target recognition and large area investigation.关键词
热红外成像/降噪/低秩矩阵近似/面阵摆扫Key words
thermal imaging/denoising/low rank matrix approximation/array whisk broom PACS:93 .85 .Pq分类
信息技术与安全科学引用本文复制引用
杨暄,王义坤,韩贵丞,刘敏,姚波,舒嵘,亓洪兴..基于低秩矩阵近似的低噪宽幅热红外成像技术[J].红外与毫米波学报,2018,37(3):296-301,306,7.基金项目
国家自然科学基金(41601353) Supported by the NationalSupported by the National Natural Science Foundation of China (41601353) （41601353）
