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Subaperture stitching performance estimation

机译:子孔径拼接性能估计

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Subaperture stitching extends measurements such as interferometry by combining several overlapping measurements into a single, high-accuracy estimate of the overall image. In designing a subaperture measurement regimen, there are several tradeoffs related to size, quantity and locations of subapertures within the full aperture of the test optic. Understanding how individual subaperture measurement noise couples through these parameters into errors in the final stitched map is important for estimating overall system performance. In this work, we explore parametric rules for estimating the accuracy of stitched results based on subaperture geometry parameters and noise characteristics for a self-calibrating system where both a test optic and reference optic are simultaneously determined. From these rules, we examine types of errors introduced by stitching which enables confidence estimates for the final stitched map surface quality.
机译:子孔径拼接通过将多个重叠的测量值合并为整个图像的单个高精度估计值,从而扩展了诸如干涉测量的测量范围。在设计亚孔径测量方案时,要在测试光学系统的整个孔径内进行一些权衡,以权衡亚孔径的大小,数量和位置。了解单个子孔径测量噪声如何通过这些参数耦合到最终缝合图中的误差对于估计整体系统性能非常重要。在这项工作中,我们探索了参数规则,用于基于子孔径几何参数和噪声特性的自动校准系统中估计缝合结果的准确性,在该系统中同时确定了测试光学器件和参考光学器件。从这些规则中,我们检查了拼接带来的错误类型,这些错误类型使最终拼接地图表面质量的置信度估算成为可能。

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