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Model-Based Correlation Measure for Nonuniformity Gain and Offset Parameters of Infrared Focal-Plane-Array Sensors

机译:红外焦平面阵列传感器不均匀性增益和偏移参数的模型相关测量

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In this paper, we proposed a model based correlation measure between gain and offset nonuniformity for infrared focal plane array (FPA) imaging systems. Actually, several nonuniformity correction methods perform correction of nonuniformities by means of gain and offset estimation in a detector-by-detector basis using several approach such as laboratory calibration methods, registration-based algorithm, and algebraic and statistical scene-based algorithm. Some statistical algorithms model the slow and random drift in time that the gain and offset present in many practical FPA applications by means of Gauss-Markov model, assuming that the gain and offset are uncorrelated. Due to this, in this work we present a study and model of such correlation by means of a generalized Gauss-Markov model. The gain and offset model-based correlation is validate using several infrared video sequences.
机译:在本文中,我们提出了一种基于模型的红外焦平面阵列(FPA)成像系统之间的增益和偏差不均匀性的相关测量。实际上,几种非均匀性校正方法通过诸如实验室校准方法,配准算法和基于代数和统计场景的算法的若干方法,通过检测器 - 逐个检测器基础中的增益和偏移估计来执行不均匀的校正。一些统计算法模型及时漂移的时间慢性和随机漂移,即通过高斯-Markov模型在许多实际FPA应用中存在的增益和偏移,假设增益和偏移是不相关的。由于这一点,在这项工作中,我们借助于广义高斯 - 马尔可夫模型提出了这种相关性的研究和模型。基于增益和偏移模型的相关性使用多个红外视频序列进行验证。

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