Aerodrome Clearance Monitoring and Management Based on Multi-Source High Resolution Remote Sensing Data

Abstract

FAA and ICAO have clear specification for aerodrome clearance management, which is vital for ensuring safe takeoff, flight and landing to aircrafts. This work proposed a new method to identify obstacles and evaluate potential hazards, which will make great contribution for clearance management and help mitigate possible risk in aviation security framework. This came up with new fully automatic methodology to detect environmental building change and OISs surface penetration based on multi-source high resolution remote sensing data. Shape extraction and classification of obstacles will be figured out from stereo paired images. This kind of clearance remote spatial patrol can be done every a few days, which is very suitable for wide area where is huge difficult to reach and human patrol pattern may miss. The application in Changshui International Airport proved to be very effective strategy to update obstacles database and manage clearance. More importantly, it helps guarantee aerodrome terminal operation safety.