分别分析了红外焦平面阵列(IRFPA)基于定标的非均匀性校正(NUC)算法和基于场景的NUC算法的优势和问题。在此基础上提出了联合NUC算法，其中利用基于定标的两点校正法来初步消除探测器的非均匀性，然后再采用基于场景的时域高通校正法和新型自适应滤波校正法来抑制探测器非均匀性参数漂移的影响，同时减弱系统噪声对成像质量的破坏。实验结果表明，与两点法、时域高通法以及传统自适应滤波法等具有较大工程应用价值的NUC算法相比，联合NUC算法具有稳定而且性能更为优良的校正效果。

The advantages and disadvantages in nonuniformity correction (NUC) algorithms based on calibration and scene of infrared focal plane arrays (IRFPA) are analysed separately. The combined NUC algorithm is presented. Two-point NUC algorithm based on calibration is adopted to remove the nonuniformity of the detector simply. The influences of detectors′ NUC parameters which will change with time are weakened by using the scene-based temporal high-pass filter algorithm and new-style adaptive filter algorithm. The disadvantages for image quality introduced by noises are weakened too. The experimental results show that the combined NUC algorithm is more stable and better than some NUC algorithms with great value in project applications, such as two point NUC algorithm, temporal high-pass filter NUC algorithm and former adaptive filter NUC algorithm.