In this paper, a nonlinear model of nonuniformity correction (NUC) algorithm based on Kalman Filter is adopted and
improved by using piecewise method of detector response, which is on the premise that response factors of each detector
in infrared focal plane arrays (IRFPA) are regarded as random state variables modeled by a discrete-time Gauss-Markov
process. The effect of nonlinear response of the IRFPA detectors to the NUC accuracy can be solved by our algorithm
effectively. The algorithm can also improve the NUC result, especially, in the condition of wide dynamic range
application. The experimental results show that our algorithm gives good correction precision and performance.