基于双正交小波变换的资源二号卫星与多光谱影像融合方法研究

针对基于Darbechies等正交小波函数的遥感影像融合时引起失真的现象，引入双正交小波函数，提出了基于双正交小波变换的融合方法，对资源二号卫星和TM的多光谱影像的融合进行研究，并把融合结果与主成分、IHS和Brovey等融合结果进行比较。通过对光谱特征曲线、相关系数、光谱扭曲程度等分析和空间细节的对比，说明双正交小波融合方法除了提高空间分辨率外，最好地保持了多光谱影像的光谱特征，有利于专题信息的提取。

Fusion Algorithm Research Based on Biorthogonal Wavelet Transform for Resource Satellite Data and Multi-spectral Image Data

Data fusion algorithm based on orthogonal wavelet transform can result in some distortion, so a new fusion algorithm based on biorthogonal wavelet transform is developed. The algorithms including IHS, PCA, Brovey and Biorthogonal wavelet transform are applied for merging resource satellite data and ETM+ multi spectral image data. The spectral profile of biorthogonal wavelet fused image is very similar to the original ETM+ image, while other fused images are much different from the original ETM+ image. The result of biorthogonal wavelet fusion is better than that of other algorithms in keeping the spectral quality of multi spectral images data, which is of advantage to thematic extraction.