关键词: 飞行动作, 飞行数据, 奇异值分解, 特征提取, 相似性匹配

Abstract: The paper regards flight maneuver evaluation as the problem of multivariate time series similarity measure，extracts the features of flight maneuver data based on SVD，and constructs the similarity matching model between two maneuvers.Using singular vector and eigenvector matrix as the features of flight maneuver not only has the results of dimension reduction and data denoising，but also unifies the flight maneuver data of different length to the same dimensionality.By the similarity measurement between under-evaluating flight maneuver and standard flight maneuver，it implements the quantitative evaluation of flight maneuvers.The experiments show good results on real data.

Key words: flight maneuver, flight data, Singular Value Decomposition（SVD）, feature extracting, similarity matching