自动目标识别算法性能评价的一种方法
A Method of Automatic Target Recognition Algorithm Performance Evaluation
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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.Abstract: 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 evaluation 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.
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Key words:
- ATR algorithm /
- performance evaluation /
- testing image set /
- image metrics /
- response surface model
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