摘要
针对已有模型对红外成像系统现场性能预测存在的概率预测问题,采用最新的目标任务性能(TTP)准则和热成像系统性能评价模型,对坦克目标进行现场性能实验,重点分析不同距离处对坦克目标的探测、识别、辨认概率和欠采样造成的信号混叠对其预测概率的影响。研究表明,该模型与实验数据吻合,可用于对当前热成像系统性能评价。最后讨论了如何对该性能模型进一步完善。
Given the existing problems of performance prediction of the current infrared imaging system,this paper adopts Target Task Performance（TTP） criteria and a performance evaluation model of the infrared imaging system for the tank＇s on-site performance test.It focuses on the analysis of the relationship between range and the probability of detection,discrimination and recognition,and the effects on the prediction probability of aliasing caused by under-sampling.Studies have shown that the model is consistent with the experiment data and can be used for current thermal imaging system performance evaluation.This paper concludes with a discussion of how to improve the performance model.
出处
《电子科技》
2010年第6期1-3,10,共4页
Electronic Science and Technology
基金
航空科学基金资助项目(20070181005)
高等院校博士学科科研基金资助项目(200707701020)
关键词
TTP
性能评估
对比度阈值函数
Target Task Performance（TTP）
performance evaluation
contrast threshold function
