Abstract: The traditional GB-InSAR time-series processing methods target the whole data set or group for real-time processing, which occupy a large amount of computer memory and are inefficient and cannot meet the timeliness of slope monitoring and realize deformation prediction and disaster warning forecast. For such a situation, a real-time processing method of GB-InSAR slope deformation monitoring was proposed based on Kalman filtering. Taking the slope monitoring of Malanzhuang iron mine in Qian'an City, Hebei Province as an analysis example, the proposed method was arranged to do verification test. The results show that the new method can solve the deformation variables within 1 minute for the current moment in the study area and can predict the deformation variables for the next moment on the solution platform used in the experiment. Compared with the results of traditional time-series InSAR, less than 1 mm standard deviation of the temporal deformation can be obtained.