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Improved Kalman-filter nonuniformity correction algorithm for infrared focal plane arrays

机译:改进的红外焦平面阵列卡尔曼滤波非均匀性校正算法

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摘要

An improved nonuniformity correction algorithm based on the Kalman-filter is presented. This paper gives an introduction to a piecewise linear model of the detector response curve, and the nonuniformity correction algorithm based on a Kalman-filter is extended and improved, which is Suitable for infrared focal plane arrays with nonlinearity of the response characteristic. Compared to the original algorithm, it can resolve not only the problems of detector offset and gain drift with time, but also the influence of the detector nonlinear response to the nonuniformity correction performance to a certain extent, so it provides better nonuniformity correction. The NUC ability of the improved algorithm is demonstrated with real infrared image sequences. (C) 2008 Published by Elsevier B.V.
机译:提出了一种改进的基于卡尔曼滤波器的非均匀性校正算法。介绍了探测器响应曲线的分段线性模型,并对基于卡尔曼滤波器的非均匀性校正算法进行了扩展和改进,适用于响应特性具有非线性的红外焦平面阵列。与原始算法相比,它不仅可以解决检测器失调和增益随时间漂移的问题,而且可以在一定程度上解决检测器非线性响应对非均匀性校正性能的影响,从而提供了更好的非均匀性校正。真实红外图像序列证明了改进算法的NUC能力。 (C)2008由Elsevier B.V.发布

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