一种新的基于Curvelet变换的遥感图像融合算法  

A New Remote Sensing Image Fusion Algorithm Based on Curvelet Transform

作　　者：玄立超[1] 谢亦才[1] 

机构地区：[1]华南师范大学计算机学院,广东广州510631

出　　处：《计算机技术与发展》2009年第5期119-121,126,共4页Computer Technology and Development

基　　金：广东省百项工程项目(2005B30801006)

摘　　要：Curvelet变换能充分利用原函数的几何正则性,可以达到用更少的系数来逼近奇异曲线的目的,因此相比小波变换而言,它更适合分析二维图像中的曲线或直线状边缘特征。综合分析Curvelet变换的特性,提出一种基于Curvelet变换的遥感图像融合算法。通过Curvelet变换将源图像分解到不同尺度、不同方向的频带范围内,然后分别对低频、高频分量采取不同的融合规则进行融合,最后进行Curvelet逆变换得到融合结果。实验结果表明该方法在增强空间特征和保留光谱信息方面均优于传统小波变换和传统Curvelet变换等方法。Curvelet transform can take full advantage of the original function of the geometric regularity, which can represent singular curve with fewer factor, compared with wavelet transform, it is more appropriate for analyzing the image edge characteristics of curve and line. The characteristics of curvelet transform are studied, and a novel algorithm to fuse remote sensing image based on eurvelet transform is proposed in this paper. Firstly, the cttrvelet transform is used to perform a multi- scale and multi- orientation decomposition of each image. And then, the curvelet coefficients for the fused image can be obtained by means of different fusion rules for low frequency and high frequency. Finally, the fused image is reconstructed by the inverse curvelet transform. The experimental results indicate that the proposed approach can significantly outperform the traditional wavelet- transform- based methods and traditional curvelet- transform- based in the spatial resolution improvement and the spectral information preservation.

关 键 词：CURVELET变换 图像融合 融合规则 融合结果评价 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]