Goaf center deformation prediction method based on InSAR (Interferometric Synthetic Aperture Radar) sequential deformation result

The invention discloses a goaf center deformation prediction method based on an InSAR time sequence deformation result, and the method comprises the following steps: obtaining a goaf center InSAR time sequence deformation result, and dividing a training sample and a prediction sample; the method comprises the following steps: determining an embedding dimension and a prediction step length, and establishing a prediction model based on support vector machine regression (SVR); according to the training sample data, a particle swarm optimization (PSO) algorithm is used for training the model, and optimal model parameters are obtained; and substituting the optimal parameter into the model, and inputting a prediction sample to obtain a model prediction result. Compared with a conventional method, the algorithm does not need to depend on prior information of a mining area, and variable prediction can be quickly and accurately provided for the center of the goaf. 本发明公开了一种基于InSAR时序形变结果的采空区中心形变预测方法，包括如下步骤：采空区中心InSAR时序形