场景统计类非均匀性校正算法对场景分布进行假定,获得探测单元接收红外能量的一、二阶矩,进而估计探测单元的响应参数,校正非均匀性。分析比较了现有的场景统计类非均匀性校正算法,并应用交互多模(IMM)算法校正非均匀性,实验结果表明以连续图像序列作为观测数据时,能够有效地校正非均匀性,扩展了卡尔曼滤波法的适用范围。对各种方法进行仿真,表明IMM算法具有较好的收敛特性。 The scene statistical non-uniformity correction algorithm assigns the scene distribution and obtains the first and second moments of the infrared energy received by the detecting unit, and then estimates the response parameters of the detecting unit to correct the non-uniformities. The existing non-uniformity correction algorithms for scene statistics are analyzed and compared, and the IMM algorithm is used to correct the non-uniformity. The experimental results show that when the continuous image sequence is used as the observation data, the non-uniformity can be effectively corrected, The scope of application of Kalman filter. Simulation of various methods shows that the IMM algorithm has better convergence characteristics.