分析了干涉多光谱卫星遥感图像的成像特性,并根据该类图像对压缩效果的要求提出了一种基于小波分层树集合分割排序（SetPartitioning in Hierarchical Trees，SPIHT）的局部图像优先编码方法，通过对图像小波域系数的局部增强，获得了对图像重要数据优先编码的特性，在8倍压缩比的条件下获得了满意的效果。用该方法对多幅干涉多光谱图像进行了测试，测试结果表明:该方法性能优于其他多光谱卫星遥感图像编码方法，并有利于在实时图像编码系统中得到应用。

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.