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Parameter Exploration for Spectral Estimation of Speckle Imagery in Modulation Transfer Function Measurements

机译:调制传递函数测量中散斑图像光谱估计的参数探索

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Efforts to extend speckle-based focal plane array (FPA) modulation transfer function (MTF) measurementsbeyond the detector Nyquist frequency have unearthed challenging spectral estimation issues. In an attemptto better understand the task of speckle image spectral estimation, this paper explores the nuances of variousestimation techniques, making comparisons using both real speckle imagery and simulated data. Parameters andfeatures of the techniques investigated include number of image realizations, the size of image realizations andapplications of windows to speckle imagery spectral estimation. Real-world testing considerations such as laserstability and the challenge of collecting significant numbers of independent image realizations are addressed inthe analysis. Results show the advantage increasing the number of realizations has on estimation variance, therobustness of smaller realization segments when battling speckle field imagery spatial non-uniformities and thebenefits of windowing image segments with regards to power spectral density (PSD) estimation accuracy.
机译:努力扩展基于斑点的焦平面阵列(FPA)调制传递函数(MTF)测量除了探测器奈奎斯特频率之外都有出土的谱估计问题。尝试为了更好地理解斑点图像谱估计的任务,本文探讨了各种各样的细微差别估计技术,使用真实散斑图像和模拟数据进行比较。参数和调查的技术的特征包括图像实现的数量,图像实现的大小和Windows应用于斑点图像频谱估计。实际测试考虑因素,如激光稳定性和收集大量独立形象的挑战在解决分析。结果表明,增加了估计方差的实现数量的优势,当作战散斑场图像空间非均匀性时,较小的实现段的鲁棒性窗口图像段的优点对于功率谱密度(PSD)估计精度。

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