Research on Airport Clearance Protection Based on Satellite Remote Sensing Technology

FAA, ICAO, and the Civil Aviation Administration of China have clear regulations on airport clearance management, which is crucial for ensuring safe takeoff and landing of aircraft. This article proposes a new method for obstacle identification, which provides new ideas and methods for clearance management and helps to reduce potential risks in aviation safety operations. This article uses convolutional neural network algorithm and satellite remote sensing technology to detect and identify changes in buildings within the airport clearance range. It can effectively detect and identify newly added buildings around the airport, providing technical support for the protection of airport clearance, clearance management efficiency, and safety risk management level.