Fusing remote sensing images using à trous wavelet transform and empirical mode decomposition | |
Su Hongbo; Tian Jing; Chen Shao-Hui | |
2008 | |
关键词 | Approximation theory Image quality Mathematical models Wavelet transforms |
英文摘要 | A` trous wavelet transform (AWT) and empirical mode decomposition (EMD) are two distinct methods used for analyzing nonlinear and nonstationary signals. In this paper, a combination of AWT and EMD is proposed as an improved method for fusing remote sensing images on the basis of the framework of AWT-based image fusion. The principle consists of performing a multiresolution decomposition on high resolution panchromatic image (HRPI) using AWT. The approximation component and low resolution multispectral image (LRMI) are fused through an intrinsic mode functions (IMFs) based model. Subsequently, the sharpening approximation component produced is substituted for the old one. High resolution multispectral image (HRMI) is then obtained through an inverse AWT (IAWT). QuickBird images are used to illustrate the advantage of this method over the traditional AWT and EMD based methods both visually and quantitatively. © 2007 Elsevier B.V. All rights reserved. |
出处 | Pattern Recognition Letters |
卷 | 29期:3页:330-342 |
收录类别 | EI |
语种 | 英语 |
内容类型 | EI期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24991] |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Su Hongbo,Tian Jing,Chen Shao-Hui. Fusing remote sensing images using à trous wavelet transform and empirical mode decomposition. 2008. |
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