The invention discloses an InSAR interference image phase unwrapping method based on U-net. The InSAR interference image phase unwrapping method comprises the following steps: S1, creating an InSAR analog data set; s2, creating a quasi-actual measurement data set; s3, putting the two types of data created in the S1 and the S2 into an improved U-net model for training; and S4, putting the to-be-unwound phase image into the trained U-net model to obtain an unwound real phase image. According to the invention, the U-net architecture, the ASPP network and the bottleneck residual error network arecombined, the expansion convolution features with different expansion rates are combined to capture rich context information, the feature receiving field can be expanded while the feature spatial resolution is not sacrificed, the feature information of the wrapping interferogram can be accurately obtained, and the robustness of the phase unwrapping algorithm is improved; the bottleneck residual error unit can prevent network degradation while reducing the parameter calculation amount of the network model, and improves the network training precision and efficiency. Compared with the prior art,the unwrapping precision is relatively high, and the anti-noise performance is relatively high.