一种基于特征的遥感影像融合新方法

基于特征的影像融合主要是在突出目标地物的空间结构和纹理特征情况下的信息融合,在小波多分辨率分析理论基础上,采用小波变换方法对高分辨图像的目标地物边缘信息增强后与多光谱图像进行特征融合,在融合过程中,没有采用传统的HIS小波融合方法,而是采用RGB小波变换的方法,用多光谱图像中的R、G、B 3个波段经小波分解后的低频图像与特征增强后的高分辨率图像、经小波分解后的高频图像分别进行融合,再经RGB合成为彩色图像得到最后的融合图像,这样既改善了图像的清晰度和分辨率,同时也保留了原多光谱图像的光谱信息。最后通过实验验证了上述结论。

A New RS Image Fusion Method Based on Feature

The image feature fusion is a kind of data fusion that is based on spectral structure and texture feature of the objects. This paper proposed feature fusion after enhancing image edge with wavelet's multi-resolution analysis to largely improve image's definition and resolving power. In the fusion process, instead of using the conventional HIS-Wavelet fusion, directly introduced RGB-Wavelet transformation which decomposed RGB bands of the multi-spectral image and high-resolution image by wavelet separately, then used low frequent parts of the R, G, B bands and high frequent parts of the high-resolution image to do the image fusion, finally had new R, G, B bands as the new fusion image. In the way, not only improved definition and resolution of the multi-spectral image, but also retained the color feature of multi-spectral image which was important for multi-spectral fusion. At last validated the conclusion with an experiment. This method was based on wavelet multi-resolution analysis and RGB color space, so it didn't generate any compute error of color space transform. Compared the fusion results of RGB-wavelet and HIS-wavelet methods, it could find that not only precision of visual estimation but also guide lines of quantitative analysis such as definition, space resolution had greater improvement.