红外与可见光图像融合系统的探测概率

许辉; 张俊举; 袁轶慧; 张鹏辉; 韩博

doi:10.3788/OPE.20132112.3205

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红外与可见光图像融合系统的探测概率

信息科学 | 更新时间：2020-08-12

- 红外与可见光图像融合系统的探测概率
- Detection probability of infrared and visible image fusion system
- 光学精密工程 2013年21卷第12期页码：3205-3213
- 作者机构：
  
  南京理工大学电子工程与光电技术学院
- 作者简介：
- 基金信息：
  
  大尺寸有障碍空间角度与基面位置测量的关键技术();江苏省研究生创新基金项目();南京理工大学自由探索项目()
- DOI：10.3788/OPE.20132112.3205
  中图分类号： TN215;TP391
- 收稿日期：2013-02-01，
  
  修回日期：2013-05-13，
  
  网络出版日期：2013-12-25，
  
  纸质出版日期：2013-12-25
- 稿件说明：
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许辉张俊举袁轶慧张鹏辉韩博. 红外与可见光图像融合系统的探测概率[J]. 光学精密工程, 2013,21(12): 3205-3213

XU Hui ZHANG Jun-ju YUAN Yi-hui ZHANG Peng-hui HAN Bo. Detection probability of infrared and visible image fusion system[J]. Editorial Office of Optics and Precision Engineering, 2013,21(12): 3205-3213
许辉张俊举袁轶慧张鹏辉韩博. 红外与可见光图像融合系统的探测概率[J]. 光学精密工程, 2013,21(12): 3205-3213 DOI： 10.3788/OPE.20132112.3205.

XU Hui ZHANG Jun-ju YUAN Yi-hui ZHANG Peng-hui HAN Bo. Detection probability of infrared and visible image fusion system[J]. Editorial Office of Optics and Precision Engineering, 2013,21(12): 3205-3213 DOI： 10.3788/OPE.20132112.3205.

摘要

提出了一种定量计算红外与可见光图像融合系统目标探测概率的方法，建立了该融合系统的目标探测概率计算模型。首先，研究了影响目标探测概率的主要因素:目标与背景的光谱对比度、红外与可见光探测器的特性、环境照度条件、融合图像质量、目标大小与距离。针对这些影响因素，分别构建了5个影响目标探测概率因素的数学模型。在此基础上，设计了基于红外与可见光图像融合系统的探测概率计算模型。最后，针对两组实际任务进行了实验。以第一组为例，其对于单一探测系统目标为树木的探测概率pvis为0.294 8，pIR为0.136 0，而采用不同算法的融合系统探测概率为0.414 2，远高于单一探测器的探测概率。得到的结果验证了融合系统的目标探测概率计算方法的有效性，证明了融合图像质量以及目标自身的光谱特性对融合系统目标探测概率起着重要作用。该模型实验结果符合人眼视觉特征。

Abstract

A method to calculate the target detection probability quantitatively for a infrared and visible image fusion system was proposed and a corresponding calculation model was established. First

the main factors affecting on the target detection probability were analyzed

and they were the spectral contrast of target and background

the characteristics of infrared and visible light detector

environmental illumination conditions

the integration of image quality

and the target size and distance. Then

five mathematical models on the effect factors mentioned above was constructed. On this basis

a calculation model for the detection probability based on infrared and visible image fusion system was completed. Finally

the experiments for two practical missions were performed. The first experiment show its results as follows: target detection probability of trees for a single detection system pvis is 0.294 8

pIR is 0.136 0

but the detection probability for the fusion detection system is 0.414 2

much higher than that of single detector

which verifies the validity of the calculation method of fusion system for target detection probability. It proves that the fusion image quality and the spectral characteristics of goal itself play important roles for target detection probability. Moreover

the experiment results of the model is accord with the human visual characteristics as well.

关键词

Keywords

references

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