Research on Quality Evaluation Algorithm of Flight Training for National Day Parade Air Echelon

In order to meet the requirements of real-time and accuracy for the quality evaluation of air echelon flight training during the National Day parade, a relevant algorithm for the quality evaluation of flight training by using fixed-point photography of ordinary cameras is proposed. The image rectification algorithm based on vanishing point theory is studied, which effectively solves the problem of image distortion and improves the accuracy of evaluation. This paper studies the air echelon automatic evaluation algorithm based on depth learning, realizes the automatic identification and evaluation of the air echelon in the image, and improves the evaluation speed.