A distributed compression method for interferential multispectral image based on set partitioning in hierarchical trees (SPIHT) is proposed,which combines SPIHT with the framework of distributed source coding (DSC) to exploit the strong correlation within and among frames as well as different scales in the same orientation. And an auxiliary reconstruction method based on side information is presented at the decoder to decrease quantization error. To protect the spectral information efficiently,ROI method based on weighted lifting coefficients is performed to priorly encode the intensive interference area that contains most spectral energy. The auxiliary reconstruction method also takes an obvious advantage on ROI coding. The method not only protects intensive interference area but also reduces the loss of the weak interference area as much as possible. The experimental results show that the proposed algorithm obtains about 0.5 dB gains over DSC in transform domain and its ability to fit the original spectral curves is greatly improved compared with other traditional compression methods.