Infrared focal plane array (IRFPA) non-uniformity correction (NUC) problem of staring infrared imaging system is the key issue that affects the imaging quality. To assess NUC performance based on self-adaption scenes, a joint test method was developed successfully, and was analyzed using three typical scenes as a test scenario. A joint test system was built further. The convergence time was respectively 16, 18 and 15 s at the frame frequency of 50 Hz; the correction accuracy was 0. 28%, respectively lower than 20 s and 0. 6% by the traditional algorithm, and the effective temperature was in the range of 19 ℃ and 31 ℃ with the input of sea scene; the corrected noise-equivalent temperature difference ( NETD) was 87 mK. The experimental results show that the proposed joint test method, compared with the traditional self-adaption correction algorithm, can evaluate the NUC performance of IRFPA availably, and the NUC algorithm of IRFPA can improve the imaging quality of infrared imaging system.