针对MODIS和SPOT影像融合问题，提出了一种基于自适应加权的亮度相关矩多分辨率影像融合方法。该方法首先对SPOT影像进行小波分解，将MODIS影像由RGB颜色空间变换到IHS颜色空间；然后，根据强度分量和SPOT影像低频分量加权后的局部均值和方差来定义影像亮度相关矩，以选择不同策略进行融合；最后，通过IHS逆变换和小波逆变换来得到包含更多信息和有效特征的融合影像。试验结果证明，该方法得到的融合影像，在保留地物光谱信息和提高空间分辨率上都具有很好的效果。

In this paper,a fusion algorithm for enhancing the spatial resolution of MODIS images is proposed,based on the joint use of IHS representation and orthogonal wavelet decomposition(OWD).The basic idea consists of following steps represent the MODIS images in the IHS space,substitute the I with the high resolution intensity component obtained from the fusion with the approximate component of the SPOT image through an intensity correlation comment model based on the self-adaptively weighting(SCMM).Finally,three high-resolution MODIS images are achieved through an inverse OWD by using the three modulated MODIS images obtained by an inverse IHS transform as the approximate component and the details of the SPOT image as the high frequencies.Experiments confirm that the proposed algorithm can achieve better performance in terms of both preserving the spectral information and improving the spatial resolution of MODIS images visually and statistically.