在分析多光谱图像小波变换后系数特点的基础上 ,提出了一种共享有效图的小波变换压缩方法(SSMWT)。该方法将小波变换压缩技术中的零树编码推广到多光谱图像压缩中 ,利用多光谱图像的结构相关性 ,对多幅小波图像只需构造一幅有效图 ,同时去除空间冗余和谱间结构冗余 ,并与K L变换相结合 ,进一步去除谱间统计冗余 ,实验表明了该方法的有效性。 Based on the analysis of the characteristics of coefficients after wavelet transform of multispectral image, a wavelet transform compression method (SSMWT) is proposed. This method extends the zero-tree coding in wavelet transform compression to multispectral image compression. By using the structural relativity of multispectral images, we only need to construct an effective image for multiple wavelet images, and remove the spatial redundancy and spectral space Structure redundancy, and combined with KL transform to further remove the statistical redundancy between spectra, experiments show the effectiveness of the method.