基于Contourlet变换的遥感影像融合算法

针对目前最新发展的Contourlet变换能比小波变换更适合于进行多尺度边缘增强处理的特点，本文提出了一种新的基于Contourlet变换的用于融合遥感全色和多光谱影像的算法，分别对应于Contourlet变换后得到的低频和高频分量系数，结合小波变换采用了不同的融合规则．实验结果表明本文提出的融合算法能在保留多光谱影像光谱信息的同时增强了融合图像的空间细节表现能力和信息量，该算法是有效可行的．

Remote Sensing Image Fusion Based on Contourlet Transform

Image fusion is a very important research field in remote sensing. Recently developed contourlet transform can offer a much richer set of directions and shapes, and thus it is more effective than wavelet in capturing smooth contours and geometric structures in images. This paper proposes a novel method of fusing panchromatic and muhispectral remote sensing images based on contourlet transform. The images are firstly decomposed by contourlet transform, then combining wavelet, the fusion procedure is choosing different rules on particular sets of contourlet coefficients which correspond to high and low frequency bands. The experiment results show that the proposed method can effectively preserve spectral information and improve spatial resolution of muhispectral images.