基于压缩感知的激光干扰图像尺度分析  

Image Metric Analysis of Laser Jamming Effect Based on Compressed Sensing Theory

作　　者：吴云龙[1] 孙晓泉[1] 徐银[1] 

机构地区：[1]脉冲功率激光技术国家重点实验室,安徽合肥230037

出　　处：《发光学报》2013年第8期1096-1101,共6页Chinese Journal of Luminescence

基　　金：重点实验室基金(13J1003);光电信息控制和安全技术重点实验室基金(20100713-003)资助项目

摘　　要：利用激光干扰CCD成像侦察系统可以使其降低或失去侦察能力,客观、准确、定量地评估干扰的效果是干扰技术研究的重要环节。本文以现有的背景杂波量化尺度为基础,结合激光干扰图像对CCD成像系统目标检测性能的影响,提出了基于压缩感知的图像尺度,并将该尺度运用于基于机器视觉的激光干扰CCD效果评估。激光视场内干扰实验及数值计算表明:该方法能够利用压缩感知理论的特点,较好地实现了对激光干扰CCD成像检测系统效果的定量评估,从而验证了该尺度的有效性。Laser interference could weaken or deprive the detection abilities from CCD imaging detection system.Therefore,how to evaluate the performance of laser jamming objectively,precisely and quantitatively becomes a significant link in the study of interference techniques.This paper surveys the principles of Compressed Sensing(CS) theory and a new image metric which is based on the CS theory has been proposed.Combining with the characteristics of laser jamming image and its influence on CCD detection algorithms,the new metric takes advantage of the available clutter metric.Moreover,it has been applied in the performance evaluation of detection algorithms when jammed by laser.Experimental results of laser jamming in the field of view show that the metric can reflect the influence of laser jamming on CCD imaging detecting algorithms and realize the quantitative appraisal of laser jamming performance on CCD imaging system,therefore,its validity is verified.

关 键 词：压缩感知 激光干扰 机器视觉 评估 

分 类 号：O482.31[理学—固体物理]