基于多分辨率分析的灰度调制影像融合方法研究  

Image Fusion Research on the Basis of Multi-resolution Analysis Grey Modulation

作　　者：林卉[1] 张连蓬[1] 张庆利[1] 肖剑平[2] 

机构地区：[1]徐州师范大学国土信息与测绘工程系,江苏徐州221116 [2]武汉市勘测设计研究院,湖北武汉430022

出　　处：《遥感学报》2007年第1期62-68,共7页NATIONAL REMOTE SENSING BULLETIN

基　　金：江苏省高校自然基金项目(编号:04KJD420193);徐州师范大学重点基金(编号:04XLA12)

摘　　要：在遥感图像处理中,由于应用的需要,已经有很多算法可以用来融合高分辨率的全色影像和低分辨率的多光谱影像。本文阐述了小波变换的Mallat算法和a′Trous(多孔)算法,在此基础上,作者提出了一种基于多分辨率分析的灰度调制影像融合方法(MRAGM算法),以SPOT全色影像与TM多光谱影像融合为例,详细给出了算法和解算步骤,最后分别用三种方法对SPOT高分辨率全色影像和TM低分辨率多光谱影像进行了融合,并且对融合后的影像从定性和定量方面都进行了评价,可以得出MRAGM方法比Mallat算法和a′Trous(多孔)算法的融合效果要好。In the course of remote sensing image processing, in order to meet the application needs, now, many algorithms have been provided for the fusion between high-resolution panchromatic image and low-resolution multi-spectral image. This paper infers Mallat algorithm and a＇Trous（ porous algorithm） algorithm theoretically, then provides specific calculation procedure. On the basis of them, multi-resolution analysis grey modulation（MRAGM algorithm） is put forward, at the same time, taking the fusion between SPOT image and TM image as an example. At last, three kinds of method are used for image fusion between SPOT high-resolution panchromatic image and TM low-resolution multi-spectral image respectively, and the fused image has been evaluated from qualitative and quantitative aspect. The conclusion is drawn that the new method proposed in this paper is better than other kinds of fusion algorithm.

关 键 词：影像融合 多分辨率分析 MRAGM算法 影像融合评价 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]