中文摘要：

提出一种有效的基于Directionlet 变换的多波段遥感图像融合算法。Directionlet 变换是一种新的基于格子的歪斜多尺度多方向各向异性小波变换工具，具有更高的逼近精度和更好的稀疏表达能力的图像分解变换，与小波变换相比，抑制了小波变换在图像边缘方向表示的固有局限性。首先采用具有多尺度、多方向特点的Directionlet 变换对多波段遥感图像进行分解。对于低频系数采用平均融合算法，方向高频系数采用区域边缘检测实现多波段遥感图像的融合处理。实验结果表明，提出的算法与传统融合算法相比不仅原始图像的边缘和纹理信息可保留，而且可获得更好的融合视觉效果。

英文摘要：

An efficient fusion algorithm for multi-band remote sensing images based on directionlet transformis proposed. Directionlets transform is a new lattice based skewed multi-scale and multi-directional anisotropicwavelet transform tool with better approximation precision and sparse description compare with wavelet transform,and it has overcome some inherent limitations of wavelet in representing directions of edges in image. Firstly,the several of muliband remote sensing images are decomposed using directionlet transform, which have multiscale,multi-direction characteristics. Then, for the low-pass coefficients, an averaging fusion rule is used. Andthe directional high-frequency coefficients are used to select the better coefficients by region edge detectionalgorithm for fusion. Experimental results show that compared with traditional algorithm, the proposed algorithmcan get better visual effect and the significant information of original image like textures and contour details is wellmaintained.