He Guojing, Zhang Jianqi, Liu Delian, Chang Honghua
School of Technical Physics, Xidian University, 2 South Taibai Road, Xi'an Shaanxi 710071, China.
Appl Opt. 2008 Oct 10;47(29):5534-40. doi: 10.1364/ao.47.005534.
This is a performance evaluation on the implementation of the Cramer-Rao lower bound (CRLB) for background clutter measurement on automatic target recognition (ATR). In essence the background clutter evaluation problem for ATR is consistent with the deterministic parameter estimation problem. Thus, useful concepts and theories of deterministic parameter estimation can be introduced into the investigation of background clutter. In this paper, the CRLB is employed as a metric for clutter measurement. Requirements needed for this application are analyzed, and the approach for obtaining the CRLB of a scene image is produced. The flexibility of the CRLB metric is analyzed. Discussion and comparison are made on the relationship between the CRLB metric and the Sims signal-to-clutter metric. Finally, we illustrate how this metric defines the potential for false alarms by determining the correspondence level between a target and background through the application of the CRLB.
这是一项关于在自动目标识别（ATR）中实施克拉美-罗下界（CRLB）以进行背景杂波测量的性能评估。本质上，ATR的背景杂波评估问题与确定性参数估计问题是一致的。因此，可以将确定性参数估计的有用概念和理论引入到背景杂波的研究中。在本文中，CRLB被用作杂波测量的指标。分析了该应用所需的要求，并给出了获取场景图像CRLB的方法。分析了CRLB指标的灵活性。对CRLB指标与西姆斯信杂比指标之间的关系进行了讨论和比较。最后，我们通过应用CRLB确定目标与背景之间的对应水平，来说明该指标如何定义误报的可能性。
