Abstract: With the widespread application of electric-optic payloads in unmanned aircraft, ground-based video processing and display have become increasingly important. However, images captured by front-mounted electric-optic payloads exhibit rotation, which causes inconvenience for ground personnel during observation and operation. This study proposes a novel method for ground video processing and display of electric-optic payloads. The approach is characterized by the use of a double-ended queue for cache data design, the application of OpenCV for efficient image cropping and rotation, and the utilization of QOpenGL to reduce CPU load during video rendering. Finally, the effectiveness and reliability of the proposed ground video processing and display software are validated through flight tests. The results demonstrate that the proposed method offers practical engineering value.