Object detection and identification applied to planes and aircraft for airport surveillance

For surveillance of an airport, it is obviously helpful to detect and identify planes and aircraft parked in each part of the tarmac to survey. A study has been achieved on a particular database and it has resulted in a classification of detected objects. The whole process includes an object detection stage, followed by a classification stage. The detection is set up on aerial views of the airport for different sampling steps. Then the classification stage sorts the detected objects into several families: small planes, jets, aircraft and so on. Experimental results are given in order to show the algorithm efficiency.