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MEASURING IMAGE NAVIGATION AND REGISTRATION PERFORMANCE AT THE 3-σ LEVEL USING PLATINUM QUALITY LANDMARKS

机译:使用铂金品质标志性测量3-Σ电平的图像导航和注册性能

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Geostationary Operational Environmental Satellite (GOES) Image Navigation and Registration (INR) performance is specified at the 3-σ level, meaning that 99.7% of a collection of individual measurements must comply with specification thresholds. Landmarks are measured by the Replacement Product Monitor (RPM), part of the operational GOES ground system, to assess INR performance and to close the INR loop. The RPM automatically discriminates between valid and invalid measurements enabling it to run without human supervision. In general, this screening is reliable, but a small population of invalid measurements will be falsely identified as valid. Even a small population of invalid measurements can create problems when assessing performance at the 3-σ level. This paper describes an additional layer of quality control whereby landmarks of the highest quality ("platinum") are identified by their self-consistency. The platinum screening criteria are not simple statistical outlier tests against sigma values in populations of INR errors. In-orbit INR performance metrics for GOES-12 and GOES-13 are presented using the platinum landmark methodology.
机译:地球静止操作环境卫星(GOVE)图像导航和注册(INR)性能在3-Σ级别指定,这意味着99.7%的单个测量集合必须符合规范阈值。地标通过替换产品监视器(RPM)来测量,部分操作转换为接地系统,以评估INR性能并关闭INR循环。 RPM会自动区分有效和无效测量,使其能够在没有人为监督的情况下运行。通常,该筛查是可靠的,但是小型无效测量人口将被错误地识别为有效。即使在评估3-Σ级别的性能时,甚至少量无效测量也会产生问题。本文介绍了一层额外的质量控制层,从而通过自我融合来确定最高质量的地标(“铂”)。铂筛选标准并不简单地统计异常试验对INR错误群体中的ΣIigma值的测试。使用Platinum Landmark方法,介绍了GOS-12和GOY-13的轨道INR性能度量。

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