This study focuses on parameter identification for miniature stabilized platforms based on infrared imaging and offers a linearization technique to reduce the nonlinear effect on modeling identification. During the identification process, a pseudorandom binary sequence is used as the modulated input signal to drive the system, and the corresponding system output is a velocity signal. In addition, the augmented least square method is applied to identify the discrete modeling parameter. Finally, the precision of the modeling is tested in two ways: parameterization and non-parameterization. The results show that parameter modeling can adequately describe the dynamic character, similar to the real system.