To solve the technical problem of excessive accumulation of errors of camera parameters during aerial triangulation self-calibration of strip sequence images captured by a UAV, a Classified Self-Calibration (CSC) method is proposed.Firstly, based on the GPS information of the images, a KD-tree is set up, and K-Means is used for automatic classification of the images.Then, the self-calibration bundle adjustment of each type of images is conducted respectively, and weighted average is made to several groups of camera parameters obtained through self-calibration.Finally, the global self-calibration bundle adjustment is conducted.Multiple sets of experiment show that, the RMSE of the parameter difference between the CSC method and the calibration method conducted in an indoor calibration field after image point distortion removal is 0.5 pixels, and the RMSE of the checkpoint position is 10.1 cm.Compared with that of Smart3D, VisualSFM and COLMAP software, the results of aerial triangulation of the proposed method could more accurately represent the original pose of the data.In conclusion, the CSC method provides an effective scheme for the aerial triangulation self-calibration of strip sequence images captured by a UAV, which has high practical application value.