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Synthetic aperture radar (SAR) satellite orbit parameters are important parameters for image registration, baseline estimation and phase removal from flat ground in interferometry. However, the large sampling interval of some SAR satellite orbit parameters leads to residual phase and large systematic errors in interferometry. In this paper, MTALAB programming tool is used to fit the original orbit state vector of the satellite by Hermite interpolation method, and isometric interpolation calculation is used to reduce the sampling interval and improve the accuracy of interferometric measurement. Taking Envisat satellites covering Bam area as an example, the interferometric maps based on rough orbit, Hermite interpolation orbit parameters and Delft precision orbit parameters were obtained, and it was qualitatively concluded that the Hermite interpolation method could effectively improve the orbit accuracy of SAR satellites. Taking AOLS satellite covering Shaanxi province as an example, the sampling interval of interpolation orbital vector is 10 seconds, 5 seconds and 2 seconds respectively, and it is found that the coherence is optimal when the interval is 5 seconds. The results show that the Hermite interpolation method can effectively increase the number of SAR satellite orbit state vectors, eliminate systematic errors and improve the accuracy of interferometry.