摘要
研究了自动目标识别（ＡＴＲ）算法性能评价方法．从象质评价的角度讨论了图象质量的统计描述方法，给出了１２个与ＡＴＲ系统性能有关的图象质量指标．提出了一种基于响应函数模型的评价ＡＴＲ算法性能的系统化的新方法，建立了一个模块式的集测试、分析、评价于一体的ＡＴＲ算法性能评价系统的方案，并采用这种方案对两种ＡＴＲ算法的性能进行了分析与评价，从而对该方案的可行性进行了论证．
A research on the performance evaluation of automatic target recognition(ATR)algorithms has been done. 12 kinds of image metrics related to ATR performance were choosen under the law of image quality description. And then a systematic approach based on response surface model for the scientific evaluatipn of ATR algorithm performance was presented. And also we provide a modular project of ATR evaluation system with many of needed capabilities for rapid testing, analysis and evaluation and data reduction. Finally, we do a comparative study for the performance of two kinds of ATR algorithms to prove its feasibility.
出处
《自动化学报》
EI
CSCD
北大核心
1996年第2期192-196,共5页
Acta Automatica Sinica
基金
航天技术研究基金
关键词
ATR算法
性能评价
图象识别
目标识别
ATR algorithm, performance evaluation, testing image set,imageanetrics, response surface model.
