摘要
Contourlet变换比小波变换更适宜表达图像的各向异性的直线、曲线和边界特征,能有效地捕捉图像的几何结构信息。与Contourlet变换相比,非下采样Contourlet变换不仅具有多尺度、多方向特性,同时还具备平移不变性。本文提出了一种新的基于Contourlet变换和IHS变换的全色影像与多光谱影像的融合方法,并将IKONOS影像数据应用于融合实验来验证方法的有效性,结果表明本文方法在较好地保持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,优于IHS和基于小波变换的IHS融合方法。
Contourlet transform can represent singularities of anisotropy linear/curve and edges much more efficiently than the wavelet transforms and capture smooth contours and geometric structures in images efficiently.The Nonsubsampled Contourlet Transform（NSCT） not only has multiscale and multidirectional properties but also has shift-invariant property by contrast to the contourlet transform.This paper proposes a novel method of fusing panchromatic（Pan） and multispectral（MS） remote sensing images based on contourlet and IHS transform.IKONOS images were used to verify the method＇s validity.The experimental results show that the proposed method has greatly improved spatial resolution while it keeps the spectral fidelity and is better than the IHS and àtrous-IHS fusion methods.
出处
《湖北第二师范学院学报》
2011年第2期79-82,共4页
Journal of Hubei University of Education
作者简介
肖模艳（1973-），女，重庆江津人，讲师，博士，研究方向为数字信号处理与图像处理。
