The data acquired by the space-borne interference hyperspectral imager is a hybrid interferogram cube. For this kind of complicated data, there are many compression schemes for the on-board compression encoder. How to determine the optimal compression scheme and the optimal compression parameters under this compression scheme is crucial to recovering data. This paper proposes three compression schemes for space-borne interference hyperspectral images, which are mixed interferograms, pure interferograms, and fast views, respectively, and performs a compression evaluation. The peak signal-to-noise ratio of the recovered image, minimum quadratic error, and the spectral angle corresponding to the restored spectral curve are used as the measurement indicators to determine the optimal scheme and the optimal compression parameter configuration which are successfully applied to the development of the spectrometer. This paper establishes a scene-rich remote sensing interference hyperspectral image data source, quantitatively evaluates the impact of different compression ratios under different compression schemes, and changes in remote sensing image displacement, guides instrument design and parameter configuration, and lays a good foundation for the data application of space-borne interference hyperspectral images. © 2021 SPIE