综合图像对ATR评价的适用性

D. Meredith, C. Walters, C. Hoover
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引用次数: 0

摘要

许多参与ATR开发和评估的人普遍认为,缺乏数据(来自战术传感器的图像)是高性能ATR系统生产和全面评估的重大障碍。认识到收集足够数量的真实数据以充分代表所有感兴趣的ATR任务场景可能过于昂贵甚至不可能,合成生成图像可能是克服这一障碍的一种方法。鉴于合成图像可能对我们未来武器系统的发展以及这些系统在未来冲突中的性能产生潜在影响,在ATR系统评估或作战ATR训练中使用该技术之前对其进行验证至关重要。在国防部长办公室(OSD)的资助下,通信和电子司令部(CECOM)的夜视和电子传感器理事会(NVESD)制定了一项正在执行的验证计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Suitability of synthetic imagery for ATR evaluation
There is a commonly held belief among many who participate in ATR development and evaluation that a lack of data (imagery from tactical sensors) is a significant obstacle in the production and thorough evaluation of high performance ATR systems. Recognizing that it may be too costly or even impossible to collect a sufficient quantity of real data to adequately represent all ATR mission scenarios of interest, synthetically generated imagery may be one way to overcome this obstacle. Given the impact that synthetic imagery could potentially have on the development of our future weapon systems and on the performance of these systems in future conflicts, it is critical that this technology be validated prior to its use in the evaluation of ATR systems or in the training of operational ATRs. In an Office of Secretary of Defense (OSD) funded effort, the Night Vision and Electronic Sensors Directorate (NVESD) of the Communication and Electronics Command (CECOM) developed a plan for validation that is being executed.
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