首先介绍了遥感影像融合的一般理论和方法，然后在讨论多进制小波理论和影像特征的基础上，提出了一种基于特征的多进制小波变换的影像融合算法，该算法根据待融合影像分辨率之比来确定采用几进制小波，将待融合的高分辨率影像进行多进制小波变换，然后把高分辨影像经小波变换后获得的低频成分和低分辨率影像依据一定的关系进行相互转换，以形成新的高分辨影像的低频成分，经过多进制小波逆变换获得到融合后的影像，最大限度地利用了待融合影像的信息，防止了影像信息的丢失，通过对具体影像的清晰度和空间分辨率，融合后的影像最大限度地保留了待融合影像的光谱信息，同时提高了待融合影像的清晰度和空间分辨率，给出了SPOT全色影像与SPOT多光谱影像，SPOT全色影像与TM影像的融合结果，并与其他方法进行了比较，从而证明了本方法的优越性和自适应能力。

This paper introduces the theory and method for remote sensing images fusion. Based on the multi band wavelet theory, a scheme of remote sensing images fusion based on image feature is made in this paper. In this algorithm the number of bands for wavelet transformis decided on the resolution ratio among remote sensing images, high resolution image to be fused can receive the low frequency ingredient by the multi band wavelet transform. By displacing the low frequency ingredient and the low resolution images with each other according to some relations, the new low frequency ingredient of high resolution image is formed. Then the fusion image through the inverse multi band wavelet transform can be obtained. this scheme makes best use of the information on remote sensing images to be fused and prevents the loss of image information. This method is experimented by using material images. In the proposed method all the spectral characteristics have been preserved, and the definition and the spatial quality of image have been improved. Experimental results including the fusion of SPOT panchromatic image and SPOT multi spectral images, SPOT panchromatic image and Landsat(TM) images are presented. Compared with other methods, the proposed scheme is much better and it possesses more adaptability.