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Imagery analysis and the need for standards

机译：图像分析和标准需求

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摘要

While efforts within the optics community focus on the development of high-quality systems and data products, comparatively little attention is paid to their use. Our standards for verification and validation are high; but in some user domains, standards are either lax or do not exist at all. In forensic imagery analysis, for example, standards exist to judge image quality, but do not exist to judge the quality of an analysis. In litigation, a high quality analysis is by default the one performed by the victorious attorney's expert. This paper argues for the need to extend quality standards into the domain of imagery analysis, which is expected to increase in national visibility and significance with the increasing deployment of unmanned aerial vehicle-UAV, or "drone"-sensors in the continental U. S.. It argues that like a good radiometric calibration, made as independent of the calibrated instrument as possible, a good analysis should be subject to standards the most basic of which is the separation of issues of scientific fact from analysis results.
机译：虽然光学界的努力集中在高质量系统和数据产品的开发上，但对它们的使用却很少关注。我们的验证标准很高。但是在某些用户域中，标准要么松懈要么根本不存在。例如，在法医图像分析中，存在判断图像质量的标准，但不存在判断分析质量的标准。在诉讼中，默认情况下，高质量的分析是由胜利的律师的专家进行的分析。本文认为有必要将质量标准扩展到图像分析领域，随着无人飞行器无人机（UAV）或“无人机”（Drone）传感器在美国大陆的部署越来越广泛，这有望提高国家的知名度和重要性。他认为，像良好的辐射校准一样，尽可能地独立于被校准的仪器，良好的分析应遵循最基本的标准，即将科学事实问题与分析结果分开。

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