According to the problems of two temperature points correction algorithm in application, a nonuniformity correction algorithm witch based on adjusting integral time is presented. In this algorithm, the nonlinear image data is translated into the linearized one firstly, then by using the relationship of IRFPA between response characteristic and integral time, the response curve of IRFPA is fitted by adjusting the integral time. And two point calibration correction is used. Finally the exponent of the corrected linearized image data is calculated and the uniformity image of the original one is achieved. The effect of correction aerial infrared image is verified by two temperature points correction algorithm and adjusting the integral time method, and this assessment method for the adaptability of nonuniformity is used in different nonuniformity correction methods. Experimental results indicate that the new algorithm has better engineering practice significance because of its characteristics of small calculating amount and fast speed, and high precision. The algorithm of the nonlinear response model of IRFPA reduces the influence of the detector nonlinear response to the nonuniformity correction performance in large dynamic range in some degree.