Abstract
Operational safety in the airport is the focus of the aviation industry. Target recognition under low visibility plays an essential role in arranging the circulation of objects in the airport field, identifying unpredictable obstacles in time, and monitoring aviation operation and ensuring its safety and efficiency. From the perspective of transfer learning, this paper will explore the identification of all targets (mainly including aircraft, humans, ground vehicles, hangars, and birds) in the airport field under low-visibility conditions (caused by bad weather such as fog, rain, and snow). First, a variety of deep transfer learning networks are used to identify well-visible airport targets. The experimental results show that GoogLeNet is more effective, with a recognition rate of more than 90.84%. However, the recognition rates of this method are greatly reduced under the condition of low visibility; some are even less than 10%. Therefore, the low-visibility image is processed with 11 different fog removals and vision enhancement algorithms, and then, the GoogLeNet deep neural network algorithm is used to identify the image. Finally, the target recognition rate can be significantly improved to more than 60%. According to the results, the dark channel algorithm has the best image defogging enhancement effect, and the GoogLeNet deep neural network has the highest target recognition rate.
Highlights
The safety of aircraft operation is an eternal theme of the aviation industry and the foundation for the survival and development of civil aviation
From the result point of view, the target recognition rate is generally improved by using GoogLeNet modeling after image processing
Many scholars have devoted themselves to the research of target recognition, few have applied it to airport target recognition and achieved practical application value
Summary
The safety of aircraft operation is an eternal theme of the aviation industry and the foundation for the survival and development of civil aviation. Aircraft accidents in the world mainly occur in the four stages of take-off, climb, approach, and landing. For every 20% increase in airport flights, the incidence of runway incursions increases by 140%. Under low-visibility conditions, the incidence of accidents will be higher. As the connecting point of aircraft take-off and landing, the airport must do a good job of safety protection, especially in low-visibility conditions; timely identify the targets in the field; and eliminate as many safety hazards as possible for the operation of the aircraft. It is necessary to use relevant auxiliary equipment to timely identify the aircraft on the runway and taxiway and unpredictable obstacles in the field (such as birds, circulating vehicles, and staff) to reduce the workload of staff and the occurrence of unsafe aviation accidents
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