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

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.