To quantitatively analyze the influence of image-rotation on the image quality during dynamic drift, a fusion model comprising a static image and dynamic drift is proposed based on the dynamic circular scanning imaging theory. A simulation method of image-rotation vector decomposition and refusion is designed based on the imaging and dynamic motion characteristics of area array CMOS camera. Further, an image-rotation simulation analysis method of the dynamic circular scanning format image is designed. Thus, all simulated images under different dynamic imaging parameters are obtained. Finally, the parameters of image width, ground resolution, signal-to-noise ratio, peak signal-to-noise ratio, and structural similarity are used to quantitatively evaluate and analyze the simulated images. Simulation results show that a longer exposure time of camera corresponds to a higher signal-to-noise ratio of the imaging system, larger image rotation, worse imaging quality, and smaller structural similarity. The results of this research can provide an effective reference for reducing the influence of image-rotation and improving the image quality of the camera in the future design of multiple dynamic imaging modes.