The channel airflow caused by wind is an important influencing factor for correlation imaging. Therefore, this paper summarizes the correlation imaging research under the disturbance of channel airflow. First, the phase model affected by the near-field airflow is given, and the effectiveness of the model is verified from the perspectives of optical transmission and correlation imaging. Then, the model is extended to high wind speed regions, the influence law of wind speed and boundary layer thickness under supersonic airflow on correlation imaging is obtained, and the change of imaging quality is quantitatively analyzed. Finally, aiming at the problem of detection jitter in the actual imaging process, the suppression method based on the correlation imaging time characteristic and the small sample imaging algorithm are introduced. The results can not only evaluate the influence of channel airflow on correlation imaging, but also provide important reference value for the application of correlation imaging in airborne remote sensing and other fields.