Recognition of Aircraft Wake Vortex Based on Random Forest

The analysis of aircraft wake vortex is great significance for the improvement airspace utilization. To overcome shortcomings traditional manual methods which are unable to produce satisfactory results on number data with high accuracy recognition, a fast automatic method proposed based Random Forests (RF). development our model outlined as follows: (1) A dataset that consisted various measured by Wind3D 6000 LiDAR was collected at Chengdu Shuangliu International Airport from Aug. 16, 2018 Oct. 10, 2018. (2) optimal parameters were determined grid search visualizing characteristic values vortices, get RF model, allowing efficiency well improved accuracy. In terms evaluation metrics, experimental showed can effectively recognize in different situations, exhibiting good robustness.