Research on Anti Runway Intrusion Detection Technology Based on NSCT and Semi Tensor Product
In order to further improve the automation level of the runway intrusion warning system and re-duce the installation and maintenance costs of facilities and equipment,this article uses camera equipment to obtain video image data of the airport scene,and uses sparse representation to detect and process the video image dataset;By utilizing NSCT algorithm optimization and combining semi tensor product,the sample dataset is trained for tracking;Establish coordinate conversion and ranging models based on mo-nocular camera ranging,accurately measure the distance between airport surface aircraft and runway cen-terline,and set appropriate thresholds based on ground protection zones to achieve runway intrusion warn-ing.The experimental results show that the optimized model image reconstruction quality has improved by 7.07％,the average processing time has decreased by 21.95％,and the accuracy of runway intrusion warning in simulated environments is 95.2％.This model has good reconstruction quality,fast processing time,good real-time performance,and high accuracy,and can provide method support for preventing run-way intrusion events.
万方数据
维普
