J4 ›› 2014, Vol. 41 ›› Issue (1): 64-68.doi: 10.3969/j.issn.1001-2400.2014.01.012

• 研究论文 • 上一篇    下一篇

强光辐射源干扰红外成像特征量化模型与分析

郭冰涛1;王晓蕊1;荆卫国2;王小兵2;黄晓敏1   

  1. (1. 西安电子科技大学 物理与光电工程学院,陕西 西安  710071;
    2. 中国人民解放军63870部队,陕西 华阴  714200)
  • 收稿日期:2012-09-24 出版日期:2014-02-20 发布日期:2014-04-02
  • 通讯作者: 郭冰涛
  • 作者简介:郭冰涛(1988-),男,西安电子科技大学博士研究生,E-mail: gbtedu@sina.com.
  • 基金资助:

    国家自然科学基金资助项目(61007014);航空科学基金资助项目(2010181004)

Feature quantitative model and performance analysis of infrared imaging under strong radiation source disturbance

GUO Bingtao1;WANG Xiaorui1;JIN Weiguo2;WANG Xiaobing2;HUANG Xiaomin1   

  1. (1. School of Physics and Optoelectronic Engineering, Xidian Univ., Xi'an  710071, China;
    2. No. 63870 Unit of PLA, Huayin  714200, China)
  • Received:2012-09-24 Online:2014-02-20 Published:2014-04-02
  • Contact: GUO Bingtao

摘要:

针对干扰战场红外成像质量的强光辐射源(战场火光),笔者基于红外成像信号转换机理,充分考虑信号响应特性、动态范围、自动增益和灰度量化,建立了强光辐射源作用的红外成像系统响应特性定量化模型.并以该模型为基础,结合实验室开发的红外场景仿真平台,模拟了典型强光光源干扰下的红外系统输出图像,定量分析强光光源亮度变化与红外图像对比度及侦察性能的关系.该研究结果将为战场环境中红外成像系统抗干扰能力防护提供理论依据和支持.

关键词: 自动增益, 系统响应特性, 成像对比度, 信号响应特性, 动态范围

Abstract:

The strong radiation source(such as battlefield fire) has become an important factor affecting the infrared imaging quality. First, a feature quantitative model of infrared imaging under strong radiation source disturbance is built based on the imaging signal conversion mechanism and by simultaneously considering the signal response characteristic,dynamic range, automatic gain characteristic(AGC) and gray level quantization and display. Then, a simulation of the output image of the infrared imaging system is performed on the basis of the model mentioned above and the simulation platform developed in our laboratory. Finally, a quantitative analysis of the relationship between the energy of the strong radiation source and the brightness(contrast) of the system's output image is made. The results will be used for providing a theoretical basis and technical support for the research on the infrared imaging system anti-interference ability protection in the battled environment.

Key words: automatic gain characteristic, signal response characteristic, imaging contrast, signal response characteristic, dynamic range

中图分类号: 

  • TN972
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