基于分段线性模型的卡尔曼滤波非均匀校正算法

为了降低探测器响应的漂移以及非线性对非均匀性校正的影响，提出了一种基于分段线性模型的卡尔曼滤波红外焦平面阵列非均匀性校正算法。该算法引入探测器响应曲线的分段线性模型，对基于卡尔曼滤波器的红外焦平面非均匀性校正算法进行了扩展和改进，不仅能减小探测器的偏置和增益随时间漂移对校正的影响，而且还能消除探测器响应非线性对非均匀性校正性能的影响。一组利用真实红外图像序列进行的实验验证了该算法可获得较好的校正性能。

Nonuniformity correction algorithm based on the Kalman-filter with a piecewise model for infrared image sequences

To reduce the effect that the detector nonlinear response imposes on the nonuniformity correction, a nonuniformity correction algorithm based on the Kalman-filter with a piecewise model is presented. This paper introduces a piecewise linear model of a detector response curve. And the Kalman-filter based nonuniformity correction algorithm is improved, which adapts to infrared focal plane arrays with nonlinearity of the response characteristic. Compared with the original algorithm, it can solve 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 some extent. Therefore it achieves a better effect of the nonuniformity correction than the original algorithm. The nonuniformity correction capability of the improved algorithm is validated with real infrared image sequences.