Abstract: The present invention discloses a method for measuring an airport flight waveform similarity by spectral clustering based on a trend distance. This method first transforms arrival and departure flight wave series of airports into trend series by using a time series trend symbolization method, and then measures the similarity of the arrival and departure flight waves of different airports by using spectral clustering based on a trend distance. The present invention realizes the purpose of scientific determination of the airport's transfer capacity and functional orientation from the demand level. Compared with those adopting empirical identification and evaluation indicator comparison, the airport classification method of the present invention is more reasonable and objective.