基于二进小波变换的遥感图像融合方法

Remote Sensing Image Fusion Method Based on Dyadic Wavelet Transform

为了充分利用遥感图像的信息,在分析以往图像融合方法优缺点的基础上,针对多光谱与全色图像的融合,提出了基于二进小波变换的融合方法,将各源图像进行二进小波分解,根据低频和高频分量的特点,按照各自的融合算法融合源图像的各分解层。再进行小波逆变换得到融合图像。利用信息熵等标准与其他融合方法进行比较,实验结果证明该融合方法较常用的正交(双正交)小波融合算法有更好的融合效果。

In order to make full use of a variety of remote sensing image information,based on the analysis of traditional image fusion methods,the multi spectral and panchromatic image fusion,a fusion method based on wavelet transform into two,each of the two source image wavelet decomposition,according to the characteristics of low frequency and high frequency components,in accordance with the source image fusion the decomposition level of each algorithm. Then the wavelet transform is used to obtain the fused image. Compared with other fusion methods using information entropy,the experimental results show that the fusion method has better fusion effect than the commonly used orthogonal(biorthogonal)wavelet fusion algorithm.