基于小波变换的SAR与可见光图像融合算法

Image Fusion Algorithm of SAR and Optical Images Based on Wavelet Transform

提出了一种基于小波变换的SAR图像与可见光图像的融合算法。为抑制斑点噪声,对SAR图像作平滑滤波。图像经小波变换后,计算不同分解层高频图像对应区域的均值与标准差,采用区域统计特性量测的融合规则;低频图像直接采用SAR图像的小波低频系数作为融合后的低频系数,对得到的融合低、高频图像作小波反变换。

In this paper,an image fusion algorithm of SAR and optical images based on wavelet transform is proposed.To suppress the speckle of SAR image,a smooth filter template is used.Then the wavelet transform is used to perform a multiscale decomposition of each image.To high- frequency images,a measure of region statistical features fusion rules based on standard deviation are used;the fusion low- frequency images adopt the SAR low- frequency images.The result image is generated by reverse wavelet transform.