Time-frequency feature extraction and discrimination of targets in airport runway using GPR

Cryptic disasters in airport runway will bring about serious accident like crash. In order to detect and recognize diseases timely, a time-frequency feature extraction method based on Wigner distribution is proposed in this paper. Since different targets have distinct energy distributions in the time-frequency domain, three time-frequency features are extracted, which are focused on the composition and the shape rather than the burial depth of target. Numerical results show that the proposed method is very effective.