基于压缩感知的激光干扰图像尺度分析

吴云龙; 孙晓泉; 徐银

doi:10.3788/fgxb20133408.1096

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基于压缩感知的激光干扰图像尺度分析

发光学应用及交叉前沿 | 更新时间：2020-08-12

- 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
- 发光学报 2013年34卷第8期页码：1096-1101
- 作者机构：
  
  脉冲功率激光技术国家重点实验室, 安徽合肥 230037
- 作者简介：
- 基金信息：
  
  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()
- DOI：10.3788/fgxb20133408.1096
  中图分类号： TN977
- 收稿日期：2013-05-04，
  
  修回日期：2013-06-24，
  
  纸质出版日期：2013-08-10
- 稿件说明：
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吴云龙, 孙晓泉, 徐银. 基于压缩感知的激光干扰图像尺度分析[J]. 发光学报, 2013,34(8): 1096-1101

WU Yun-long, SUN Xiao-quan, XU Yin. Image Metric Analysis of Laser Jamming Effect Based on Compressed Sensing Theory[J]. Chinese Journal of Luminescence, 2013,34(8): 1096-1101
吴云龙, 孙晓泉, 徐银. 基于压缩感知的激光干扰图像尺度分析[J]. 发光学报, 2013,34(8): 1096-1101 DOI： 10.3788/fgxb20133408.1096.

WU Yun-long, SUN Xiao-quan, XU Yin. Image Metric Analysis of Laser Jamming Effect Based on Compressed Sensing Theory[J]. Chinese Journal of Luminescence, 2013,34(8): 1096-1101 DOI： 10.3788/fgxb20133408.1096.

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。

Abstract

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

Keywords

references

Gao W. Evaluation method for jamming effectiveness on electro-optical imaging systems [J]. Opto-Elctronic Engineering (光电工程), 2006, 33(2)：5-8 (in Chinese).[2] Xu J, Zhao S H, Wu J L, et al. Integrated fuzzy evaluation method of photoelectric jamming to detector [J]. Opto-Elctronic Engineering (光电工程), 2007, 34(6)：30-34 (in Chinese).[3] Xu Y, Shao L, Sun X Q. Image metric analysis of laser jamming effect on CCD tracking performance [J]. Infrared and Laser Engineering (红外与激光工程), 2012, 41(4)：899-993 (in Chinese).[4] Zhang J Q, He G J, Liu D L, et al. Impact of background clutter on IR imaging system performance [J]. Infrared and Laser Engineering (红外与激光工程), 2008, 37(4)：565-568 (in Chinese).[5] Wang X R, Zhang J Q. Machine vision based IR imaging system detection performance [J]. J. Infrared Millim. Waves(红外与毫米波学报), 2003, 22(4)：273-276 (in Chinese).[6] Donoho D L. Compressed sensing [J]. IEEE Transactions on Information Theory, 2006, 52(4)：1289-1306.[7] Cands E, Romberg J, Tao T. Robust uncertainty principles： Exact signal reconstruction from highly incomplete frequency information [J]. IEEE Transactions on Information Theory, 2006, 52(2)：489-509.[8] Cands E. Compressive sampling [D]//Proceeding of International Congress of Mathematicians, Madrid, 2006：1433-1452.[9] Shen M X. Research on Image Reconstruction Technique Based on Compressed Sensing Theory [D]. Nanjing： Nanjing University of Aeronautics and Astronautics, 2010：1-2 (in Chinese).[10] Cands E, Tao T. Near optimal signal recovery from random projections： Universal encoding strategies [J]. IEEE Transactions on Information Theory, 2006, 52(12)：5406-5425.[11] Hong X Y, Hong Y, Xu Y, et al. Influence of laser jamming on target acquisition performance out of the field of view [J]. Chin. J. Lumin.(发光学报), 2012, 33(1)：63-64 (in Chinese).[12] Qiu D D, Zhang Z, Wang R, et al. Mechanism research of pulsed-laser induced damage to CCD imaging devices [J]. Acta Optical Sinica (光学学报), 2011, 31(2)：0214006-1-12 (in Chinese).[13] Wu J. Sparse-representation-based Clutter Metric. Xi'an： Xidian University, 2011：44-47 (in Chinese).[14] Li M, Zhou Z H, Zhang G L. Image measures in the evaluation of ATR algorithm performance [J]. Infrared and Laser Engineering (红外与激光工程), 2007, 36(3)：412-416 (in Chinese).[15] Zhang Y N, Yang X Y. Research on performance evaluation approaches of infrared automatic target recognition algorithms[J]. Infrared (红外), 2007, 28(6)：15-20 (in Chinese).[16] Richard S, Sims F. Putting ATR performance on an equal basisThe measurement of knowledge base distortion and relevant clutter [J]. SPIE, 2000, 4050：55-60.[17] Chang H H, Zhang J Q. New metrics for clutter affecting human target acquisition [J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(1)：361-368.

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