At present, the civil aviation airports use the surface surveillance radar monitoring and positioning systems to
monitor the aircrafts, vehicles and the other moving objects. Surface surveillance radars can cover most of the
airport scenes, but because of the terminals, covered bridges and other buildings geometry, surface
surveillance radar systems inevitably have some small segment blind spots. This paper presents a monocular
vision imaging technology model for airport surface surveillance, achieving the perception of scenes of moving
objects such as aircrafts, vehicles and personnel location. This new model provides an important complement
for airport surface surveillance, which is different from the traditional surface surveillance radar techniques.
Such technique not only provides clear objects activities screen for the ATC, but also provides image
recognition and positioning of moving targets in this area. Thereby it can improve the work efficiency of the
airport operations and avoid the conflict between the aircrafts and vehicles. This paper first introduces the
monocular visual imaging technology model applied in the airport surface surveillance and then the monocular
vision measurement accuracy analysis of the model. The monocular visual imaging technology model is
simple, low cost, and highly efficient. It is an advanced monitoring technique which can make up blind spot
area of the surface surveillance radar monitoring and positioning systems.