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A General Quantitative Approach to Performance Evaluation of Automatic Target Recognition (ATR) Systems

机译:自动目标识别(ATR)系统性能评估的一般定量方法

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This paper presents a general quantitative approach to performance evaluation of ATR systems, especially for FLIR imagery. The general quantitative evaluation approach we proposed consists of three main steps. First, multiple sets of testing image sequences with significantly varying difficulty for specific environment, which can be precisely measured, are transmitted into an ATR system through a general protocol interface. Secondly, the computerized results of each set of testing image sequence are gotten through the interface after the ATR system works on each received image. Finally, data analysis will be prosecuted on the former experimental data sets. For convenience of arrangement, the different sets of testing image sequences with measured parameters and their homologous results are managed as the form of testing groups. When evaluating an ATR system, we design numerous groups of testing data which grade from easy to hard. We have developed the General Evaluation Software for Performance of ATR Systems (GESPATRS), which running under Windows in PC. As an example, an ATR system for FLIR imagery is evaluated by the GESPATRS. More details about it are given in the paper to demonstrate the feasibility of the proposed approach.
机译:本文介绍了ATR系统性能评估的一般定量方法,特别是对于FLIR图像。我们提出的一般定量评估方法包括三个主要步骤。首先,可以通过通用协议接口将可以精确测量的特定环境难度显着变化的多组测试图像序列,其可以通过通用协议接口将其传输到ATR系统中。其次,在ATR系统在每个接收的图像上工作之后,通过接口将每组测试图像序列的计算机化结果得到接口。最后,将在前实验数据集上起草数据分析。为了便于布置,具有测量参数的不同测试图像序列及其同源结果被管理为测试组的形式。在评估ATR系统时,我们设计了许多测试数据群体,从易于努力。我们已经开发了ATR Systems(Gespatrs)的常规评估软件,它在PC中的Windows下运行。例如,Gespatrs评估FLIR图像的ATR系统。有关它的更多细节在论文中,以证明所提出的方法的可行性。

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