The characters of spectral satellite images are analyzed and a new spectral satellite image compression method based on region-enhanced wavelet transform and set partitioning in hierarchical tree (SPIHT) coding is presented which offered a satisfied compressing result by enhancing the wavelet coefficients of the serious image data area. A few spectral satellite images are tested and the experimental results show that this method has more advantages over other methods reported so far for spectral satellite image compression.